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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 6780. Отображено 100.
19-01-2012 дата публикации

Intelligent Automated Assistant

Номер: US20120016678A1
Автор: Adam John Cheyer, Christopher Dean Brigham, Dag Kittlaus, Didier Rene Guzzoni, Harry Joseph Saddler, Marcello Bastea-Forte, Richard Donald Giuli, Thomas Robert Gruber
Принадлежит: Apple Inc

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

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Номер записи: 1
31-05-2012 дата публикации

System and method of prioritizing automated translation of communications from a first human language to a second human language

Номер: US20120136648A1
Автор: Jeffrey S. Poulin, Rosemary DeSantis Paradis, Russell Elliot
Принадлежит: Lockheed Martin Corp

A method of prioritizing the automated translation of communications includes capturing and inputting into a data processing system a translation-candidate communication rendered in a first human language. A first data set representative of the translation-candidate communication is stored in computer memory and parsed into communication sub-portions. Communication sub-portions are algorithmically selected for translation depending on their relatedness to a predetermined topic as determined by first-language extraction rules. Each selected communication sub-portion is translated to a translated-data-set sub-portion representative of that selected communication sub-portion in the second human language. Translated-data-set sub-portions are subjected to a secondary filtration process in accordance with which their relatedness to the predetermined topic is determined by second-language extraction rules. Translated-data-set sub-portions determined to contain information sufficiently related to the predetermined topic are converted to converted-data-set sub-portions representative of the translated-data-set sub-portions in a human-intelligible format and outputted through a machine-to-human interface.

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Номер записи: 2
21-06-2012 дата публикации

Artificial intelligence system

Номер: US20120158615A1
Автор: Leslie Spring
Принадлежит: Cognitive Code Corp

An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems.

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Номер записи: 3
21-06-2012 дата публикации

Artificial intelligence system

Номер: US20120158634A1
Автор: Leslie Spring
Принадлежит: Cognitive Code Corp

An artificial intelligence system and method for interpreting input from a user and generating a response to the user. The input is converted into an array of concepts which are compared to a database of interrelated concepts. A response is generated based on the concepts in the database and their relationship to the concepts in the input array. The system and method may be implemented in a number of electronic or computer devices to interact with humans or computer systems.

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Номер записи: 4
05-07-2012 дата публикации

Expert Conversation Builder

Номер: US20120173243A1
Автор: Erik T. Mueller, Juhnyoung Lee, Melvin Perez-Cedano, Rangachari Anand
Принадлежит: International Business Machines Corp

An expert conversation builder contains a knowledge database that includes a plurality of dialogues having nodes and edges arranged as directed acyclic graphs. Users and authors of the system interface with the knowledge database through a graphical interface to author dialogues and to create expert conversations as threads traversing the node in the dialogues.

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Номер записи: 5
04-10-2012 дата публикации

System and method for integrating text analytics driven social metrics into business architecture

Номер: US20120253858A1
Автор: Ana Lelescu, Ignacio G. Terrizzano, Susanne M. Glissmann
Принадлежит: International Business Machines Corp

Embodiments of the invention relate to an architectural structure for representing an underlying business and tools to support dynamic adjustment of the structure. A social media metric is created and associated with a business metric of a component represented in the architectural structure, and an impact on the underlying business is identified and measured based upon this association. Accordingly, elements of the structure are parsed and analyzed, and in response to the analysis, the structure is dynamically modified to mitigate receipt of measured negative output data.

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Номер записи: 6
04-10-2012 дата публикации

Automated detection of deception in short and multilingual electronic messages

Номер: US20120254333A1
Автор: Koduvayur P. Subbalakshmi, Na Cheng, Peng Hao, Rajarathnam Chandramouli, Rohan Perera, Xiaoling Chen
Принадлежит: Stevens Institute of Technology

A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

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Номер записи: 7
27-12-2012 дата публикации

Evaluating query translations for cross-language query suggestion

Номер: US20120330990A1
Автор: Qiliang Chen, Weihua Tan
Принадлежит: Google LLC

Computer-implemented methods, systems, computer program products for generating cross-language query suggestions are described. For each query suggestion written in a first natural language, candidate segmentations are generated from the query suggestion, and candidate translations are generated from each candidate segmentation. The candidate translations are evaluated based on a measure of segmentation quality associated with the respective candidate segmentation from which each candidate translation is derived, and a frequency of occurrence of the candidate translation in a target language query log. The measure of segmentation quality associated with each candidate segmentation is further based on a frequency of occurrence of the candidate segmentation in a source language query log. A candidate translation is provided as a cross-language query suggestion for the primary language query suggestion based on the result of the evaluation.

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Номер записи: 8
11-04-2013 дата публикации

Automated word substitution for contextual language learning

Номер: US20130090914A1
Автор: Christopher A. White
Принадлежит: Alcatel Lucent SAS

A contextual language learning capability is disclosed. The contextual language learning capability is configured to enable an end user to use knowledge of a first language to learn a second language. The contextual language learning capability is configured to modify source content (in which content is provided in the first language) to form modified content (including a combination of content in the first language and content in the second language). The source content is processed to replace at least a portion of the content provided in the first language with corresponding content provided in the second language, thereby producing the modified content. The modified content is presented to the end user for use in learning the second language. The replacement of a subset of the source content in the first language with corresponding content in the second language gives context to the content in the second language, thereby giving the end user an understandable context for the content provided in the second language. This increases the likelihood that the end user will be able to understand and, thus, learn, the second language.

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Номер записи: 9
02-05-2013 дата публикации

Method, system, and appartus for selecting an acronym expansion

Номер: US20130110500A1
Автор: Conglei Yao, Shicong Feng, WEI Liu, Yuhong Xiong
Принадлежит: Hewlett Packard Development Co LP

According to one embodiment of the present invention, there is provided a method of selecting an expansion for an acronym in a document of a set of linked documents. The method comprises obtaining for each occurrence of the acronym in the set of linked documents one or more possible acronym expansions and an associated probability that the one or more possible acronym expansions is the correct acronym expansion. The further comprises identifying a sub-set of documents from the set of linked documents in which the acronym occurs. The method further comprises recalculating the associated probabilities for a first occurrence of an acronym in the sub-set of documents based, in part, on the associated probabilities of other occurrences of the acronym in the sub-set of documents and the distance between the first occurrence and the other occurrences.

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Номер записи: 10
09-05-2013 дата публикации

Personalized Vocabulary for Digital Assistant

Номер: US20130117022A1
Автор: Adam John Cheyer, Didier Rene Guzzoni, Lik Harry Chen, Thomas Robert Gruber
Принадлежит: Apple Inc

Methods, systems, and computer readable storage medium related to operating an intelligent digital assistant are disclosed. A text string is obtained from a speech input received from a user. The received text string is interpreted to derive a representation of user intent based at least in part on a plurality of words associated with a user and stored in memory associated with the user, the plurality of words including words from a plurality of user interactions with an automated assistant. At least one domain, a task, and at least one parameter for the task, are identified based at least in part on the representation of user intent. The identified task is performed. An output is provided to the user, where the output is related to the performance of the task.

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Номер записи: 11
16-05-2013 дата публикации

Translation management system

Номер: US20130124987A1
Автор: David Lakritz
Принадлежит: Transperfect Global Inc

A translation management system in a computer environment. A preferred embodiment of the invention automatically detects when a document, data stream, or non-text file in the master language has been updated and notifies the user which corresponding documents, data streams, or non-text files in the other languages require translation which are then staged and dynamically routed and sequenced to individual translation resources where the actual translation is performed. Management status, reporting, scheduling, and accounting information is sent to the user as the translation process ensues. The user is notified of the completion of translation and the invention coordinates the delivery of the translated documents, data streams, or non-text files back to the user's site for installation and optional review. The invention makes a variety of translation resources instantly available to the user which include both automated translation tools as well as human translators. The translation resources are connected to the invention using a flexible architecture that can be deployed on intranets as well as the Internet.

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Номер записи: 12
13-06-2013 дата публикации

Generic virtual personal assistant platform

Номер: US20130152092A1
Автор: Osher Yadgar
Принадлежит: SRI International Inc

A method for assisting a user with one or more desired tasks is disclosed. For example, an executable, generic language understanding module and an executable, generic task reasoning module are provided for execution in the computer processing system. A set of run-time specifications is provided to the generic language understanding module and the generic task reasoning module, comprising one or more models specific to a domain. A language input is then received from a user, an intention of the user is determined with respect to one or more desired tasks, and the user is assisted with the one or more desired tasks, in accordance with the intention of the user.

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Номер записи: 13
20-06-2013 дата публикации

Servers, display devices, scrolling methods and methods of generating heatmaps

Номер: US20130155118A1
Автор: Eric Lecolinet, Johann Daigremont, Julien Robinson, Mathias Baglioni, Myriam Ribiere
Принадлежит: Alcatel Lucent SAS, Institut Telecom

Methods of generating heatmaps including receiving, at a first electronic device, first information associated with a first zone of a plurality of zones of a content item, determining at least one first concept related to the first information, receiving at least one target content characteristic, determining at least one second concept related to the at least one target content characteristic, and determining a first heat of the first zone based on the first and second concepts, the first heat representing a measure of similarity between the first and second concepts.

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Номер записи: 14
01-08-2013 дата публикации

Method and apparatus for translation

Номер: US20130197898A1
Автор: Chang Ki Lee, Chung Hee Lee, Hyeon Jin Kim, Hyo Jung Oh, Hyun Ki Kim, Jeong Heo, Mi Ran Choi, Myung Gil Jang, Pum Mo Ryu, Yeo Chan Yoon, Yo Han JO, Yoon Jae Choi
Принадлежит: Electronics and Telecommunications Research Institute ETRI

Disclosed is an apparatus for providing an accurate automatic language translation service. A user terminal according to an exemplary embodiment of the present invention includes a display unit to display a translation option setting menu for a user with respect to a source sentence of which a category is designated and to be translated; a user input unit to receive, from the user, an input on setting of a translation option; a communication unit to transmit the translation option to a translation server, and to receive a translation result from the translation server; and a control unit to control operations of the display unit, the user input unit, and the communication unit. According to the present invention, a translation service for multilingual multimedia through a natural styled highly precise automatic translation is enabled.

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Номер записи: 15
08-08-2013 дата публикации

Apparatus and method for providing emergency communications

Номер: US20130205337A1
Автор: Andrew J. Augustine, John McClenny, Mary Mccarthy
Принадлежит: AT&T INTELLECTUAL PROPERTY I LP

A system that incorporates teachings of the present disclosure may include, for example, a server having a controller operable to monitor for emergency messages over a broadcast network and over the Internet, obtain an emergency message based on the monitoring where the emergency message comprises text data, audio data, schedule data and location data and where the text and audio data correspond to a plurality of languages, generate an alert message comprising the schedule data, the location data and at least a portion of the plurality of languages of the text and audio data, and multicast the alert message over an Internet Protocol Television network to a plurality of set top boxes, wherein each of the set top boxes presents a text alert that is synchronized with an audio alert based on the multicast alert message when the location data corresponds with a location of the set top box. Other embodiments are disclosed.

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Номер записи: 16
15-08-2013 дата публикации

Automated interpretation of clinical encounters with cultural cues

Номер: US20130211834A1
Автор: Daniel T. Heinze
Принадлежит: A Life Medical LLC

A method, system and a computer program product for an automated interpretation and/or translation are disclosed. An automated interpretation and/or translation occurs by receiving language-based content from a user. The received language-based content is processed to interpret and/or translate the received language-based content into a target language. Also, a presence of a cultural sensitivity in the received language-based content is detected. Further, an appropriate guidance for dealing with the detected cultural sensitivity is provided.

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Номер записи: 17
05-09-2013 дата публикации

Multifunction Portable Electronic Device and Mobile Phone with Touch Screen, Internet Connectivity, and Intelligent Voice Recognition Assistant

Номер: US20130231160A1
Автор: Raman Kaliputnam Rao, Sanjay Kaliputnam Rao, Sunil Kaliputnam Rao
Принадлежит: Individual

A multifunction portable electronic device, mobile device, or smart phone may have a touch screen, cellular radio, microphone, speakers, video, camera, voicemail, website, and Internet connectivity. The device records spoken audio, processes the audio, transcribes the audio into text, and displays the text on the screen. The spoken audio may be used for composition of emails or documents. The mobile device may accept voice commands for actions including calling, dialing a number, or accessing an Internet site. The device may use local or server-based voice recognition software. Voice patterns may be stored in a database specific to an individual. Voice may be used to control functions on the device, a server, Internet site, or an intelligent television. The mobile device may communicate using an inside line path such as a Bluetooth, Ethernet, USB, WiFi or 802.11x or a cellular, GSM, CDMA, LTE, GPS, or other outside line path.

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Номер записи: 18
05-09-2013 дата публикации

Disambiguating system and method

Номер: US20130231919A1
Автор: Xin-Hua Li, Yu-Kai Xiong
Принадлежит: Futaihua Industry Shenzhen Co Ltd, Hon Hai Precision Industry Co Ltd

A disambiguating method includes providing a storage unit storing a first database and a second database. The first database includes a dictionary of ambiguous language data, the second database includes a collection of disambiguating algorithms, each piece of ambiguous language data in the dictionary is associated with at least one of the disambiguating algorithms. A sentence input is received from the application system via the interface and recognized if the sentence comprises a piece of ambiguous language date which is defined in the dictionary. The recognized piece of ambiguous language data in the sentence is disambiguated using the at least one associated disambiguating algorithm, and results of disambiguating are generated. An interpretation is selected from the results and output to the application system via the interface. A disambiguating system is also provided.

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Номер записи: 19
26-09-2013 дата публикации

Real-time Data Localization

Номер: US20130253911A1
Автор: Andrew M. Wilson, Christopher E. Hansten, James F. Kateley, Jonah W. Petri
Принадлежит: Apple Inc

A method, apparatus, and system are provided for performing a real-time or a near real-time localization of data. The method comprises monitoring an input string and comparing a semantic associated with the input string to a semantic associated with at least one stored string. The method further comprises providing the stored string as an alternative to the input string.

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Номер записи: 20
26-09-2013 дата публикации

Extracting terms from document data including text segment

Номер: US20130253916A1
Автор: Hironori Takeuchi, Shiho Negishi, Yohei Ikawa
Принадлежит: International Business Machines Corp

A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.

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Номер записи: 21
10-10-2013 дата публикации

Apparatus for automatic theme detection from unstructured data

Номер: US20130268534A1
Автор: Kenneth Robert Voorhees, Thomas Mathew
Принадлежит: Clarabridge Inc

This apparatus provides a system and method of determining significant repeating themes in a collection of documents. The apparatus operates unsupervised and leverages a natural language processing mechanism supported with lexicon, synonym and taxonomy dictionaries to determine themes and establish their relevance using a two-level hierarchical structure. The apparatus also assigns meaningful names to identified themes and determines a set of rules that describe the theme such that it can be applied to categorize other documents outside of the collection as well.

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Номер записи: 22
07-11-2013 дата публикации

Image networks for mobile communication

Номер: US20130295991A1
Автор: Raman K. Rao, Sunil K. Rao
Принадлежит: Individual

A mobile communication system based on images, enabling communication between a plurality of mobile devices and servers, wherein the images have associated additional properties in the nature of voice, audio, data and other information. The system further enabling the formation of one or more image networks wherein the images are stored, organized, connected and linked to each other by one or more methods inclusive of one to one connection between images, a hierarchical connection between images and or other methods of connection between images to facilitate efficient image based communication between mobile devices, stationary devices and servers based on the mobile device identification, mobile device specific profiles and user specific profiles. The imaged base network system further having the ability to learn and form intelligent association between objects, people and other entities; between images and the associated data relating to both animate-and inanimate entities for intelligent image based communication in a network.

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Номер записи: 23
07-11-2013 дата публикации

Mobile electronic device and associated method enabling transliteration of a text input

Номер: US20130297286A1
Автор: Michael Elizarov, Vadim Fux, XIN Wang
Принадлежит: BlackBerry Ltd

An improved mobile electronic device enables the inputting of text in one alphabet, Traditional Chinese in the present example, by transliteration of inputs in another alphabet, BoPoMoFo in the present example. Since some of the inputs can be ambiguous, transliteration of an ambiguous input is delayed until a detection of a finalization event, thus avoiding the outputting of unnecessary transliteration results, and thus advantageously avoiding a distraction to the user.

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Номер записи: 24
14-11-2013 дата публикации

Systems and Methods for Word Offensiveness Processing Using Aggregated Offensive Word Filters

Номер: US20130304456A1
Автор: Joseph L. Spears
Принадлежит: IPAR, LLC

Computer-implemented systems and methods are provided for identifying language that would be considered obscene or otherwise offensive to a user or proprietor of a system. A first plurality of offensive words are received, and a second plurality of offensive words are received. A string of words are received, where one or more detected offensive words are selected from the string of words that matches words from the first plurality of offensive words or the second plurality of offensive words. The string of words is processed based upon the detection of offensive words in the string of words.

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Номер записи: 25
26-12-2013 дата публикации

Computer-implemented method, computer software and apparatus for use in a translation system

Номер: US20130346062A1
Автор: Alistair Gordon, Keith Mills, Mark Lancaster
Принадлежит: Individual

A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

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Номер записи: 26
26-12-2013 дата публикации

Dynamic Translation Substitution

Номер: US20130346064A1
Автор: Guoyou Chen, Jennifer D. Mulsow, Su Liu, William B. Huber
Принадлежит: International Business Machines Corp

Mechanisms are provided for translating messages output by processes associated with the data processing system. Language based user activities occurring via a data processing system are tracked and automatically analyzed to determine a relative priority ordering of one or more languages used by a user performing the user activities. A sequence of preferred language translation substitutions is generated for outputting messages based on results of the analysis and is automatically applied to a received message from a process associated with the data processing system to generate a translated message using one of the preferred language translation substitutions in the sequence of preferred language translation substitutions. The translated message is output via an output device of the data processing system.

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Номер записи: 27
02-01-2014 дата публикации

Computer system for automatically combining reference indicia to a common noun differentiated by adjectives in a document

Номер: US20140006014A1
Автор: Harold W. Milton, Jr., Jacob Allen
Принадлежит: Individual

A computer system for preparing a document which includes multiple elements having a common noun and being differentiated by a reference indicia with each combination of primary and secondary adjectives by automatically scanning the document for each combination of the primary and secondary adjectives and inserting all of the reference indicia following the common noun in response to a scanning processor detecting the occurrence of the common noun unmodified by an adjective to reference the unmodified common noun with all of the reference indicia for the elements throughout the document without attaching the reference indicia to occurrences of the common noun modified by one of the adjectives.

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Номер записи: 28
02-01-2014 дата публикации

Method and system for robot understanding, knowledge, conversation, volition, planning, and actuation

Номер: US20140006320A1
Автор: Michael S. P. Miller, Sheldon O. Linker, Toni M. Poper
Принадлежит: LINKER SYSTEMS Inc

A system for understanding and storing knowledge and plans in a speakable, formal class of languages, allowing querying and retrieving of that knowledge and plan (conversation), and of deciding and acting (volition) upon such plans is provided. The system further allows the users to input data, instructions, questions, queries, imperatives, and plans without structure or rules over and above the actual grammar of the class of languages. The system responds in words, phrases, complete sentences, or actions, as applicable, and its output is bound by the rules of logic, rather than correlation or likely meaning.

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Номер записи: 29
13-02-2014 дата публикации

System and method for mining patterns from relationship sequences extracted from big data

Номер: US20140046977A1
Автор: Sridhar Gopalakrishnan, Sujatha Raviprasad Upadhyaya
Принадлежит: XURMO TECHNOLOGIES PVT Ltd

The various embodiments herein provide a system and method for mining frequent patterns in relationship space from a plurality of relationship sequences extracted from a big data The system comprises a data repository for collecting and storing the big data. An Entity Store for collecting and storing a plurality of entities from the big data, an Entity Hierarchy for representing a hierarchical structure of entities, a Relationship Store for collecting and storing relationship instances between the pluralities of entities, a Relationship Hierarchy for representing a hierarchical structure of relationship, a language/domain model for organizing entities and relationships in a hierarchical manner, a pattern query Processing Module (PQPM) for processing, a pattern query related to finding patterns in relationships and entities, and a Pattern Generation Module (PGM) to generate frequent patterns and a Frequent Pattern Display Module (FPDM) to provide a visual presentation of the mined patterns.

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Номер записи: 30
06-03-2014 дата публикации

Human-to-human Conversation Analysis

Номер: US20140067375A1
Автор: Charles C. Wooters
Принадлежит: Next IT Corp

Customer support, and other types of activities in which there is a dialogue between two humans can generate large volumes of conversation records. Automated analysis of these records can provide information about high-level features of, for example, the workings of a customer service department. Analysis of these conversations between a customer and a customer-support agent may also allow identification of customer support activities that can be provided by virtual agents instead of actual human agents. The analysis may evaluate conversations in terms of complexity, duration, and sentiment of the participants. Additionally, the conversations may also be analyzed to identify the existence of selected concepts or keywords. Workflow characteristics, the extent to which the conversation represents a multi-step process intended to accomplish a task, may also be determined for the conversations. Characteristics of individual conversations may be combined to obtain generalized or representative features for a set of a conversation records.

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Номер записи: 31
13-03-2014 дата публикации

Method and System for Building a Phonotactic Model for Domain Independent Speech Recognition

Номер: US20140074476A1
Автор: Giuseppe Riccardi
Принадлежит: AT&T Intellectual Property II LP

The invention concerns a method and corresponding system for building a phonotactic mode for domain independent speech recognition. The method may include recognizing phones from a user's input communication using a current phonotactic model detecting morphemes (acoustic and/or non-acoustic) from the recognized phones, and outputting die detected morphemes for processing. The method also updates the phonotactic model with the detected morphemes and stores the new model in a database for use by the system daring the next user interaction. The method may also include making task-type classification decisions based on the detected morphemes from the user's input communication.

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Номер записи: 32
20-03-2014 дата публикации

Swiping Action for Displaying a Translation of a Textual Image

Номер: US20140081620A1
Автор: Ekaterina Solntseva
Принадлежит: ABBYY SOFTWARE LTD

Disclosed is a method that involves acquiring an image with text, displaying all or a portion of the image on an electronic device. In response to detecting a swiping action or gesture, displaying a result of translation on a screen of the device. A first screen or display becomes a second one. Original text in a first language or source language may be easily and quickly compared to translated text shown on a second screen through a swiping gesture. Electronic dictionaries and machine translation may be used. These services may be independently stored and operated from different locations including on the device performing the translation, on a server or across a network (LAN, WAN, etc.). Optional manual correction of the translated text is also possible.

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Номер записи: 33
20-03-2014 дата публикации

Natural Language Vocabulary Generation and Usage

Номер: US20140081626A1
Автор: Gregg D. Wilensky, Lubomira A. Dontcheva, Walter W. Chang
Принадлежит: Adobe Systems Inc

Natural language vocabulary generation and usage techniques are described. In one or more implementations, one or more search results are mined for a domain to determine a frequency at which words occur in the one or more search results, respectively. A set of the words is selected based on the determined frequency. A sense is assigned to each of the selected set of the words that identifies a part-of-speech for a respective word. A vocabulary is then generated that includes the selected set of the words and a respective said sense, the vocabulary configured for use in natural language processing associated with the domain.

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Номер записи: 34
03-04-2014 дата публикации

Emotion identification system and method

Номер: US20140095148A1
Автор: Armen Berjikly, Kumar Garapaty, Moritz Sudhof, Neil Sheth
Принадлежит: Kanjoya Inc

A system and method for identifying emotion in text that connotes authentic human expression, and training an engine that produces emotional analysis at various levels of granularity and numerical distribution across a set of emotions at each level of granularity. The method may include determining similarity between textual data and an emotion, and classifying emotions as similar emotions.

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Номер записи: 35
06-01-2022 дата публикации

CROSS-CONTEXT NATURAL LANGUAGE MODEL GENERATION

Номер: US20220005463A1
Автор: Bender Walter, Fernández Musoles Carlos, Garay Maestre Unai, Tomkins Adam
Принадлежит:

Provided is a method including obtaining a corpus and an associated set of domain indicators. The method includes learning a set of vectors in an embedding space based on n-grams of the corpus. The method includes updating ontology graphs comprising a set of vertices and edges associating the set of vertices with each other. The method also includes determining a vector cluster using hierarchical clustering based on distances of the set of vectors with respect to each other in the embedding space and determining a hierarchy of the ontology graphs based on a set of domain indicators of a respective set of vertices corresponding to vectors of the vector cluster. The method also includes updating an index based on the ontology graphs. 1. A computer-implemented method of using domain-specific ontologies to of providing summaries of documents in a corpora of natural-language text documents , the method comprising:obtaining, with a computer system, a set of user-specific context parameters and a natural-language text document;determining, with the computer system, a first domain of knowledge based on the set of user-specific context parameters, wherein the first domain of knowledge maps to a first ontology amongst a plurality of ontologies, and wherein ontologies in the plurality of ontologies map n-grams onto a set of concepts to which the n-grams refer;scoring, with the computer system, a first set of n-grams of the natural-language text document using a scoring model based on relations between members of the first set of n-grams;selecting, with the computer system, text sections of the natural-language text based on n-gram scores provided by the scoring model;determining, with the computer system, an initial set of n-grams of the n-grams, wherein each respective n-gram of the initial set of n-grams maps to a respective concept of the set of concepts, and wherein each respective n-gram is identified by an ontology other than the first ontology;determining, with the ...

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Номер записи: 36
06-01-2022 дата публикации

COGNITIVE NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM FOR MULTI-SENSOR DATA FUSION

Номер: US20220006825A1
Автор: COBB Wesley Kenneth, HEMSATH Alex David, MORGAN Charles Richard, NGUYEN Duy Trong, POFFENBERGER Aaron, RISINGER Lon W., SAITWAL Kishor Adinath, SEOW Ming-Jung, SOLUM David M., URECH Dennis G., Xu Gang, Yang Tao, YANTOSCA Michael S.
Принадлежит: Intellective Ai, Inc.

Embodiments presented herein describe techniques for generating a linguistic model of input data obtained from a data source (e.g., a video camera). According to one embodiment of the present disclosure, a sequence of symbols is generated based on an ordered stream of normalized vectors generated from the input data. A dictionary of words is generated from combinations of the ordered sequence of symbols based on a frequency at which combinations of symbols appear in the ordered sequence of symbols. A plurality of phrases is generated based an ordered sequence of words from the dictionary observed in the ordered sequence of symbols based on a frequency by which combinations of words in ordered sequence of words appear relative to one another. 1. A method , comprising:generating, via a processor, a stable model of words based on a statistical distribution of combinations of symbols, the symbols being associated with normalized data;calculating, via the processor, a score for at least one word from the stable model of words based on a frequency of occurrence of the at least one word; andsending a behavioral alert based on the score.2. The method of claim 1 , wherein the combinations of symbols are associated with a video feed.3. The method of claim 1 , further comprising dynamically updating the stable model of words based on a received stream of additional normalized data.4. The method of claim 1 , further comprising dynamically updating the stable model of words based on an ordered stream of additional normalized data.5. The method of claim 1 , further comprising receiving an ordered stream of data claim 1 , wherein the symbols are associated with clusters generated from the received ordered stream of data.6. The method of claim 1 , wherein each word from the stable model of words represents an activity.7. The method of claim 1 , further comprising generating a neuro-linguistic model based on the stable model of words.8. A computer-readable storage medium storing ...

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Номер записи: 37
13-01-2022 дата публикации

Software programming assistant

Номер: US20220012018A1
Автор: Craig M. Trim, Gray Franklin Cannon, Indervir Singh Banipal, Shikhar KWATRA
Принадлежит: International Business Machines Corp

A natural language command from an operator is received. The command regards a task that a software system is to execute. A programming language in which to program the task is determined by analyzing a plurality of factors regarding the task and the software system. Code is output in the programming language that executes the task.

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Номер записи: 38
07-01-2021 дата публикации

FILTERING EVENT RECORDS BASED ON SELECTED EXTRACTED VALUE

Номер: US20210004396A1
Автор: Carasso R. David, Delfino Micah James, HWANG Johnvey
Принадлежит:

Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value. 1. A computer-implemented method , comprising:accessing a set of events, each event associated with a timestamp and including in textual form a portion of machine data that was created to record activity that has previously occurred in an information technology environment;causing display of at least a first event from the set of events, the display including the portion of machine data included in the first event;receiving a user selection of a portion of text from the portion of machine data included in the displayed first event;automatically determining a text extraction rule that, when applied to the portion of machine data included in the first event, would extract the selection of the portion of text from a field in the displayed first event;for each event in the set of events, applying the text extraction rule to the portion of machine data included in the event to extract from the event a value of the field for the event;receiving an indication of a selected one of the extracted values;causing display of a filtered subset of the events including only events associated with the selected ...

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Номер записи: 39
04-01-2018 дата публикации

Methods and systems for invoking code in a different programming language

Номер: US20180004721A1
Автор: Christopher WOLFRAM, Jan Poeschko, Joel Klein, Stephen Wolfram
Принадлежит: Wolfram Research Inc

Programmer input in a first programming language is received, the programmer input including i) a built-in function of the first programming language, the built-in function corresponding to generating code for remotely invoking an electronic object deployed, or to be deployed, on a server via a communication network, and ii) a parameter that indicates the electronic object, wherein the code for invoking the electronic object comprises a) code in a second programming language different than the first programming language, or b) code in a markup language interpretable by a web browser. The programmer input is evaluated to: i) generate the code for remotely invoking the electronic object deployed, or to be deployed, on the server, and ii) if the electronic object is not yet deployed on the server, deploy the electronic object on the server. The code for remotely invoking the electronic object is generated for inclusion in a file corresponding to a web page or a program written in the second programming language.

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Номер записи: 40
01-01-2015 дата публикации

Business intelligence data models with concept identification using language-specific clues

Номер: US20150006160A1
Автор: Graham A. WATTS, Mohsen M. Rais-Ghasem, QING Wei, Robin N. Grosset
Принадлежит: International Business Machines Corp

Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes comparing, with one or more computing devices, a data item heading from the data source with concept keywords in a concept library, the concept library comprising a plurality of concepts and one or more of the concept keywords in at least one language associated with each of one or more of the concepts. The method further includes identifying, with one or more computing devices, one or more matches between the data item heading and one or more concept keywords associated with a particular concept from among the concepts comprised in the concept library. The method further includes identifying, with one or more computing devices, the data item heading as being associated with the particular concept.

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Номер записи: 41
07-01-2021 дата публикации

System and method for document translation in a format agnostic document viewer

Номер: US20210004527A1
Автор: Jeremy Paul Duke, Michael John Chowaniec, Thomas Demmler
Принадлежит: Open Text SA ULC

Systems and methods are disclosed for a format agnostic document viewer with document translation that provide the ability for a user to either select a portion of the viewed document text in the format agnostic viewer and have it translated into a selected language, or for the user to have the entire document presented in the format agnostic viewer in translated form. The translated text may be shown side-by-side with the original document text in the format agnostic viewer, or can replace the original text on the visible page in the format agnostic viewer. The translated text may be formatted according to, or displayed with, some enhancements to account for differences in the original text and translated text or other differences.

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Номер записи: 42
07-01-2021 дата публикации

SYSTEMS AND METHODS TO EXTRACT THE CONTEXT OF SCIENTIFIC MEASUREMENTS USING TARGETED QUESTION ANSWERING

Номер: US20210004540A1
Автор: Cox Jessica Rose, Daniel, Harper Corey A., JR. Ronald E., Scerri Antony Jason
Принадлежит: Elsevier, Inc

A method for performing a search for a result set of documents comprises receiving, at a computing device, an electronic document, identifying a numerical value in the document, extracting the numerical value and a portion of text surrounding the numerical value from the document to obtain extracted text, creating a vector representation of the extracted text, generating a series of questions associated with the extracted text, generating answers to the series of questions based on the vector representation of the extracted text, determining a context associated with the numerical value based on the answers to the plurality of questions, and storing the numerical value and the context associated with the numerical value in a database. 1. A method comprising:receiving, at a computing device, an electronic document;identifying a numerical value in the document;extracting the numerical value and a portion of text surrounding the numerical value from the document to obtain extracted text;creating a vector representation of the extracted text;generating a series of questions associated with the extracted text;generating answers to the series of questions based on the vector representation of the extracted text;determining a context associated with the numerical value based on the answers to the series of questions; andstoring the numerical value and the context associated with the numerical value in a database.2. The method of claim 1 , wherein the numerical value is associated with a scientific measurement.3. The method of claim 2 , wherein the context associated with the scientific measurement comprises a property of an entity that was measured claim 2 , the entity whose property was measured claim 2 , and conditions under which the scientific measurement was taken.4. The method of claim 3 , further comprising:storing the numerical value and the context associated with the numerical value in a data structure comprising a quantity to hold the numerical value, a measured ...

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Номер записи: 43
07-01-2021 дата публикации

LEARNING DEVICE OF PHRASE GENERATION MODEL, PHRASE GENERATION DEVICE, METHOD, AND PROGRAM

Номер: US20210004541A1
Автор: ASANO Hisako, NISHIDA Kyosuke, SAITO Itsumi, TOMITA Junji
Принадлежит: Nippon Telegraph and Telephone Corporation

A learning device of a phrase generation model includes a memory; and a processor configured to execute learning the phrase generation model including an encoder and a decoder, by using, as training data, a 3-tuple. The 3-tuple includes a combination of phrases and at least one of a conjunctive expression representing a relationship between the phrases, and a relational label indicating the relationship represented by the conjunctive expression. The encoder is configured to convert a phrase into a vector from a 2-tuple. The 2-tuple includes a phrase and at least one of the conjunctive expression and the relational label. The decoder is configured to generate, from the converted vector and the conjunctive expression or the relational label, a phrase having the relationship represented by the conjunctive expression or the relational label with respect to the phrase. 126.-. (canceled)27. A learning device of a phrase generation model comprising:a memory; anda processor,wherein the processor is configured to execute learning the phrase generation model including an encoder and a decoder, by using, as training data, a 3-tuple constituted with a combination of phrases and at least one of a conjunctive expression representing a relationship between the phrases, and a relational label indicating the relationship represented by the conjunctive expression,wherein the encoder is configured to convert a phrase into a vector from a 2-tuple constituted with a phrase and at least one of the conjunctive expression and the relational label, andwherein the decoder is configured to generate, from the converted vector and the conjunctive expression or the relational label, a phrase having the relationship represented by the conjunctive expression or the relational label with respect to the phrase.28. The learning device of the phrase generation model as claimed in claim 27 , wherein the processor further executes extracting a combination of phrases that have a predetermined ...

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Номер записи: 44
07-01-2021 дата публикации

HIGH FIDELITY PREDICTIONS OF SERVICE TICKET ESCALATION

Номер: US20210004706A1
Автор: Langdon Andrew, Monnett Charles, Rath Poonam, Riddle Zach, SPRACKLEN Lawrence
Принадлежит:

System derives training change factors for services provided for training product user, priority assigned to training service ticket initiated by training product user, times of service ticket interactions associated with training service ticket, and/or age of training service ticket, and also for times of states of training service ticket. System uses training service ticket and training change factors to train change-based machine-learning model to predict change-based training probability that training product user escalated service for training service ticket. System derives change factors for services provided for product user, priority assigned to service ticket initiated by product user, times of service ticket interactions associated with service ticket, and/or age of service ticket, and also for times of states of training service ticket. System applies change-based machine-learning model to service ticket and change factors to predict change-based probability that product user escalates service for service ticket. System outputs change-based probability. 1. A system for high fidelity predictions of service ticket escalation , the system comprising:one or more processors; and derive training set change factors for at least one of services provided for a training set product user, a priority assigned to a training set service ticket initiated by the training set product user, times of service ticket interactions associated with the training set service ticket, and an age of the training set service ticket, and also for times of states of the training set service ticket;', 'train, using the training set service ticket and the training set change factors, a change-based machine-learning model to predict a change-based training probability that the training set product user escalated service for the training set service ticket;', 'derive change factors for at least one of services provided for a product user, a priority assigned to a service ticket initiated by ...

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Номер записи: 45
07-01-2021 дата публикации

LANGUAGE-ADAPTED USER INTERFACES

Номер: US20210005097A1
Автор: Fitzpatrick- Nash Timothy
Принадлежит: Education Index Management Asia Pacific Pte. Ltd.

A computer-implemented training system includes data storage storing: (i) a first set of visual instruction materials, (ii) a second set of audio instruction materials, and (iii) a set of user data. The user data includes, for each user, (a) a first indication of a visual instruction status and (b) a second indication of an audio instruction status. Also stored is a presentation control processing arrangement configured for selecting an instruction material of the first set or the second set and causing it to be presented to a user. The presentation control processing arrangement is configured to, for a specific user, select one of (a) a visual instruction material from the first set based on the first indication for that user and (b) an audio instruction material from the second set based on the second indication for that user, and presenting the selected instruction material to the user. 1. A computer-implemented training system comprising:data storage storing in a non-transient manner: (i) a first set of visual instruction materials, (ii) a second set of audio instruction materials and (iii) a set of user data comprising, for each of a plurality of users, (a) a first indication of a visual instruction status and (b) a second indication of an audio instruction status; anda presentation control processing arrangement configured for selecting an instruction material of the first set or the second set and causing it to be presented to a user;the presentation control processing arrangement being configured to, for a specific user, select one of (a) a visual instruction material from the first set in dependence on the stored first indication for that user and (b) an audio instruction material from the second set in dependence on the stored second indication for that user, and to cause the selected instruction material to be presented to the user.2. A computer-implemented training system as claimed in claim 1 , wherein the presentation control processing arrangement is ...

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Номер записи: 46
07-01-2021 дата публикации

RECORDING MEDIUM RECORDING PROGRAM, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING METHOD FOR TRANSCRIPTION

Номер: US20210005204A1
Автор: Sankoda Satoru
Принадлежит: FUJITSU LIMITED

A method for transcription is performed by a computer. The method includes: accepting input of a voice after causing a display unit to display a sentence including a plurality of words; acquiring first sound information being information concerning sounds corresponding to the sentence; acquiring second sound information being information concerning sounds of the voice accepted in the accepting; specifying a portion in the first sound information having a prescribed similarity to the second sound information; and correcting a character string in the sentence corresponding to the specified portion based on a character string corresponding to the second sound information. 1. A non-transitory computer-readable recording medium having stored therein a program for causing a computer to execute processing comprising:accepting input of sounds after causing a display to display a sentence including a plurality of words;acquiring first sound information being information concerning sounds corresponding to the sentence;acquiring second sound information concerning the accepted sounds;specifying a portion in the first sound information having a prescribed similarity to the second sound information; andcorrecting a character string in the sentence corresponding to the specified portion based on a character string corresponding to the second sound information.2. The recording medium according to claim 1 , whereinthe portion is specified in the specifying based on a similarity of a phoneme sequence included in the first sound information to a phoneme sequence included in the second sound information.3. The recording medium according to claim 1 , whereinthe portion is specified in the specifying based on a similarity of a waveform of a voice included in the first sound information to a waveform of a voice included in the second sound information.4. The recording medium according to claim 1 , whereinthe portion is specified in the specifying based on a phoneme sequence included in ...

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Номер записи: 47
01-01-2015 дата публикации

Detect and Automatically Hide Spoiler Information in a Collaborative Environment

Номер: US20150007014A1
Автор: Corville O. Allen
Принадлежит: International Business Machines Corp

An approach is provided to detect and hide spoiler information. In the approach, potential spoiler content included user text entries submitted to a collaborative environment are automatically detected. The system inhibits display of the potential spoiler content from the collaborative environment in response to the detection.

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Номер записи: 48
04-01-2018 дата публикации

Autonomic meeting effectiveness and cadence forecasting

Номер: US20180007101A1
Автор: Aaron K. Baughman, Christian Eggenberger, Moncef Benboubakeur
Принадлежит: International Business Machines Corp

Meeting participation data of a meeting of a group of participants in-progress is collected. The meeting participation data is analyzed to identify a topic being discussed in the meeting. Using a trend of affective states of a participant, a future affective state of the participant is forecasted relative to the topic. The future affective state is evaluated to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree. A cognitive system (cog) trained in the subject-matter is selected. The cog is added to the meeting before the future time and while the meeting is in-progress.

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Номер записи: 49
20-01-2022 дата публикации

VEHICLE ASSET MODELING USING LANGUAGE PROCESSING METHODS

Номер: US20220019708A1
Автор: Baseman Robert Jeffrey, Bhamidipaty Anuradha, Jayaraman Srideepika, Khabiri Elham, Reddy Chandrasekhara K.
Принадлежит:

A computing device includes a processor and a storage device. A vehicle asset modeling module is stored in the storage device and is executed by the processor to configure the computing device to perform acts of identifying and clustering a plurality of assets based on static properties of a vehicle asset using a first module of the vehicle asset modeling module. The clustered plurality of assets is determined based on dynamic properties of the vehicle asset using a second module. Event prediction is performed by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module. One or more sequence-to-sequence methods are performed to predict a malfunction of a component of the vehicle asset and/or an event based on past patterns. Prediction information is stored in the storage device. 1. A computing device comprising:a processor;a storage device for content and programming coupled to the processor;a vehicle asset modeling module stored in the storage device, wherein an execution of the vehicle asset modeling module by the processor configures the computing device to perform acts comprising:identifying and clustering a plurality of assets based on static properties of a vehicle asset using a first module of the vehicle asset modeling module;determining a rating of one or more assets of the clustered plurality of assets based on dynamic properties of the vehicle asset, by a second module of the vehicle asset modeling module;performing an event prediction by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module of the vehicle asset modeling module;performing one or more sequence-to-sequence methods to predict a malfunction of a component of the vehicle asset and/or an event based on past patterns, by the third module of the vehicle asset modeling module; andpredicting information and storing in the storage device.2. The computing ...

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Номер записи: 50
20-01-2022 дата публикации

TECHNIQUES FOR GENERATING NATURAL LANGUAGE DESCRIPTIONS OF NEURAL NETWORKS

Номер: US20220019749A1
Автор: SIKKA Vishal INDER
Принадлежит:

An artificial intelligence (AI) model includes one or more feature models coupled to one or more observer models in a hierarchical fashion. The feature models are configured to process an input to detect different features within that input. The observer models are configured to analyze the operation of the feature models during processing of the input to generate various types of observations. One type of observation includes a natural language expression that conveys how various architectural and/or functional characteristics of a given feature model influence the processing of the input to detect features, thereby exposing the underlying mechanisms via which the given feature model operates. 1. A computer-implemented method for analyzing characteristics of neural networks , the method comprising:causing a first neural network to perform a first operation based on a first input; andcausing a second neural network to generate a natural language expression based on the first operation, wherein the natural language expression indicates to a user one or more characteristics of the first neural network when performing the first operation.2. The computer-implemented method of claim 1 , further comprising causing the second neural network to generate a taxonomy of syntactic elements based on at least one of an architectural characteristic or a functional characteristic of the first neural network and to generate the natural language expression using the taxonomy of syntactic elements.3. The computer-implemented method of claim 1 , further comprising causing the second neural network to perform a parameterization operation with the first neural network to generate an architecture parameterization that quantifies at least one architectural characteristic of the first neural network and to generate the natural language expression using the architecture parameterization.4. The computer-implemented method of claim 1 , further comprising causing the second neural network to ...

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Номер записи: 51
20-01-2022 дата публикации

Systems and methods for targeted advertising

Номер: US20220020056A1
Автор: Andrew Michael Moeck, Marcus G. Larner
Принадлежит: Appbrilliance Inc

Methods of generating recommendations may include obtaining social network data from one or more network resources. Word relationships may be created between selected words in the social network data to produce relationship data. Advertisement or other asset recommendations may be generated for a target user by analyzing browse information of the target user to identify one or more words. Other words in the relationship data may be identified that are related to the words in the target user's browse information. One or more advertisements may be identified having at least one keyword that corresponds to the other words. At least a portion of these advertisements may be selected from a data repository to provide to the target user.

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Номер записи: 52
27-01-2022 дата публикации

METHOD AND SYSTEM FOR AUTOMATIC RECOMMENDATION OF WORK ITEMS ALLOCATION IN AN ORGANIZATION

Номер: US20220027833A1
Автор: MIARA Oren, Wolfman Gadi, YAFFE Arnon
Принадлежит: DEEPCODING LTD.

A system and a method of automatically allocating by an autonomous orchestration of work items to organizational resource are provided herein. The method may include the following steps: obtaining a stream of work items allocation requests from a delivery management system; analyzing the stream of work items allocation requests, to extract work items specification from the requests; applying an optimization of the human resources vis a vis the work items specifications; and providing recommendation for allocation of said work items to the delivery management system. 1. A method of automatically optimizing work item allocation to organizational resources using a computerized delivery management system (DMS) , the method comprising:obtaining a stream of work items allocation requests from the DMS;analyzing the stream of work items allocation requests, to extract work items specification from the requests;applying an optimization of the organizational resources in view of the work items specifications; andproviding recommendation for allocation or performing automatic allocation of said work items at the DMS.2. The method according to claim 1 , wherein said organizational resources comprise at least one of: a human claim 1 , a team of humans claim 1 , one or more robots claim 1 , and a hybrid team comprising at least one human and at least one robot.3. The method according to claim 1 , wherein said stream of work items allocation requests further comprises at least one of: ticketing system documents claim 1 , emails claim 1 , messages claim 1 , sent between the organizational resources.4. The method according to claim 1 , wherein extracting the work item specification is carried out by applying natural language processing and/or rules.5. The method according to claim 1 , wherein the applying of said optimization factors in at least one of: capacity claim 1 , scoring claim 1 , workload claim 1 , and availability of said organizational resources.6. The method according ...

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Номер записи: 53
27-01-2022 дата публикации

CLINICAL DECISION-MAKING SUPPORT APPARATUS, CLINICAL DECISION-MAKING SUPPORT SYSTEM, AND CLINICAL DECISION-MAKING SUPPORT METHOD

Номер: US20220028534A1
Автор: SHIBATA Junko, Sugiyama Atsuko
Принадлежит: Canon Medical Systems Corporation

A clinical decision-making support apparatus according to an embodiment includes: processing circuitry that acquires disease, patient, medical, and personal information about at least an event that is specific to the subject, specifies an option about a treatment method for the disease, based on the disease, patient, and medical information, decides a treatment schedule about the method for the option, based on the disease, patient and medical information, and calculates an event schedule about the specific event in a period for which the method for the option is to be performed, based on the personal information, the method, and the treatment schedule; and a communication interface that transmits, to a terminal apparatus, display data expressing the event schedule and the event related to the treatment schedule, and the treatment schedule for each option in time series. 1. A clinical decision-making support apparatus comprising: acquire disease information about a disease of a subject, patient information of the subject, medical information about the disease, and personal information about at least an event that is specific to the subject,', 'specify an option about a treatment method for the disease, based on the disease information, the patient information, and the medical information,', 'decide a treatment schedule about the treatment method for the option, based on the disease information, the patient information, and the medical information, and', 'calculate an event schedule about the specific event in a period for which the treatment method for the option is to be performed, based on the personal information, the treatment method, and the treatment schedule; and, 'processing circuitry configured to'}a communication interface configured to transmit, to a terminal apparatus, display data expressing the event schedule and the event related to the treatment schedule, and the treatment schedule for each option in time series.2. The clinical decision-making ...

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Номер записи: 54
12-01-2017 дата публикации

Machine learning dialect identification

Номер: US20170011739A1
Автор: Fei Huang
Принадлежит: Facebook Inc

Technology is disclosed for creating and tuning classifiers for language dialects and for generating dialect-specific language modules. A computing device can receive an initial training data set as a current training data set. The selection process for the initial training data set can be achieved by receiving one or more initial content items, establishing dialect parameters of each of the initial content items, and sorting each of the initial content items into one or more dialect groups based on the established dialect parameters. The computing device can generate, based on the initial training data set, a dialect classifier configured to detect language dialects of content items to be classified. The computing device can augment the current training data set with additional training data by applying the dialect classifier to candidate content items. The computing device can then update the dialect classifier based on the augmented current training data set.

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Номер записи: 55
14-01-2021 дата публикации

COMPUTERIZED ANALYSIS OF TEAM BEHAVIOR AND COMMUNICATION TO QUANTIFY AND OPTIMIZE TEAM FUNCTION

Номер: US20210012068A1
Автор: Coppersmith Glen A., Crutchley Patrick N., FRIEDER Ophir, Leary Ryan, Wood Anthony D., Yelskiy Aleksander
Принадлежит: QNTFY CORP.

A computer evaluates free-form text messages among members of a team, using natural language processing techniques to process the text messages and to assess psychological state of the team members as reflected it the text messages. The computer assembles the psychological state as reflected in the messages to evaluate team collective psychological state. The computer reports a trend of team collective psychological state in natural language text form. 1. A method , comprising the steps of:by computer, evaluating free-form text messages among team members of a team, using natural language processing techniques to process the text messages and to assess psychological states of the team members as reflected in the text messages;by computer, assembling a psychological state of each of the team members as reflected in the messages to evaluate team collective psychological state;in the memory of a computer, modeling the team with a multiplex graph to obtain the team collective psychological state, wherein nodes of the graph correspond to team members, layers of the multiplex graph correspond to respective psychological attributes of the assembled psychological states of the team members, and edges of the graph within each layer represent the respective psychological attributes as reflected between the team members corresponding to the nodes of the edges; andby computer, reporting a trend of the team collective psychological state in natural language text form.2. The method of claim 1 , further comprising the step of:using natural language processing techniques to process the text messages and to assess at least three emotions of the team members as reflected in the text messages, the three emotions drawn from the group consisting of anger, disgust, fear, happiness, sadness, love, surprise, trust, distrust, surprise, or anticipation,3. The method of claim 1 , further comprising the step of:using natural language processing techniques to process the text messages and to ...

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Номер записи: 56
09-01-2020 дата публикации

Interpreting and presenting code based on historical sentiments and interactions

Номер: US20200012494A1
Автор: Alec J. MATSCHINER, Avery GRANUM, Jim C. Chen, Kyle G. CHRISTIANSON, Rafal P. Konik
Принадлежит: International Business Machines Corp

Techniques for cognitive interpretation of source code are provided. Metadata associated with a section of code in a software project is analyzed to determine a change history of the section of code. A plurality of discussions related to the section of code is evaluated, where each of the plurality of discussions occurred during a code review process. Further, a plurality of support records related to the section of code is analyzed. A sentiment score for the section of code is determined based on the associated metadata, the evaluation of the plurality of discussions, and the analysis of the plurality of support records. Additionally, a display color for the section of code is selected based on the sentiment score. Finally, generation of a graphical user interface (GUI) is facilitated, where the GUI displays the first display color in association with the first section of code.

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Номер записи: 57
09-01-2020 дата публикации

Method and system for generating vehicle service content

Номер: US20200013022A1
Автор: Bradley R. Lewis, Brett A. Kelley, Jacob G. Foreman, Patrick S. Merg
Принадлежит: Snap On Inc

Methods and systems for using natural language processing and machine-learning algorithms to process vehicle-service data to generate metadata regarding the vehicle-service data are described herein. A processor can discover vehicle-service data that can be clustered together based on the vehicle-service data having common characteristics. The clustered vehicle-service data can be classified (e.g., categorized) into any one of a plurality of categories. One of the categories can be for clustered vehicle-service data that is tip-worthy (e.g., determined to include data worthy of generating vehicle-service content (e.g., a repair hint). Another category can track instances of vehicle-service data that are considered to be common to an instance of vehicle-service data classified into the tip-worthy category. The vehicle-service data can be collected from repair orders from a plurality of repair shops. The vehicle-service content generated by the systems can be provided to those or other repair shops.

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Номер записи: 58
11-01-2018 дата публикации

Assisting entities in responding to a request of a user

Номер: US20180013699A1
Автор: Gustavo Sapoznik, Hui Dai, Joseph Hackman
Принадлежит: ASAPP Inc

A third-party service may be used to assist entities in responding to requests of users. A third-party service may receive, directly or indirectly, a request of a first user for assistance from a first entity. The third-party service may request information about the first user by sending a request to a computer of the first entity. The third-party service may use the request of the first user and the information about the first user to automatically generate a response to the request of the first user. The third-party service may then transmit, directly or indirectly, the response to the first user.

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Номер записи: 59
09-01-2020 дата публикации

Processing spoken commands to control distributed audio outputs

Номер: US20200013397A1
Автор: Gregory Michael Hart, Robert Williams, Steven Todd Rabuchin
Принадлежит: Amazon Technologies Inc

A system that is capable of controlling multiple entertainment systems and/or speakers using voice commands. The system receives voice commands and may determine audio sources and speakers indicated by the voice commands. The system may generate audio data from the audio sources and may send the audio data to the speakers using multiple interfaces. For example, the system may send the audio data directly to the speakers using a network address, may send the audio data to the speakers via a voice-enabled device or may send the audio data to the speakers via a speaker controller. The system may generate output zones including multiple speakers and may associate input devices with speakers within the output zones. For example, the system may receive a voice command from an input device in an output zone and may reduce output audio generated by speakers in the output zone.

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Номер записи: 60
14-01-2021 дата публикации

COGNITIVE INFORMATION SECURITY USING A BEHAVIORAL RECOGNITION SYSTEM

Номер: US20210014258A1
Автор: COBB Wesley Kenneth, Cole, FALCON Cody Shay, JR. Curtis Edward, KONOSKY Benjamin A., MORGAN Charles Richard, NGUYEN Thong Toan, POFFENBERGER Aaron, SEOW Ming-Jung
Принадлежит: Intellective Ai, Inc.

Embodiments presented herein describe a method for processing streams of data of one or more networked computer systems. According to one embodiment of the present disclosure, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network is received. A neuro-linguistic model of the information security data is generated by clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words. 1. A method , comprising:receiving, at a processor, a first ordered stream of normalized values associated with information security data for a computer network; clustering the first ordered stream of normalized values to form a plurality of clusters,', 'outputting an ordered sequence of letters based on the plurality of clusters,', 'outputting an ordered stream of words based on the ordered sequence of letters, and', 'generating a plurality of phrases based on the ordered stream of words;, 'generating a stable neuro-linguistic model bydetecting, using a codelet template, a pattern in a linguistic representation of the information security data, the linguistic representation of the information security data including at least one of the ordered sequence of letters, the ordered stream of words, or the plurality of phrases;receiving a second ordered stream of normalized values associated with the information security data for the computer network; andissuing an alert based on the stable neuro-linguistic model, the pattern, and the second ordered stream of normalized values.2. The method of claim 1 , wherein the information security data includes ...

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Номер записи: 61
03-02-2022 дата публикации

Apparatuses, Methods and Computer Programs for a User Device and for a Server

Номер: US20220035596A1
Автор: HU Wangsu, TCHOI Won, Tian Jilei, WERNER Marko
Принадлежит:

Examples relate to apparatuses, methods and computer programs for a user device and for a server, e.g. to provide a personalized service enabled by converting human language to processing logic. An apparatus for a user device comprises processing circuitry configured to obtain a user command from the user via a user interface of the user device, the user command being obtained in natural language. The processing circuitry is configured to provide the user command in natural language to the server via an interface. The processing circuitry is configured to obtain a response to the user command from the server via the interface, the response to the user command comprising an identifier that is assigned to the user command by the server. The processing circuitry is configured to assign the user command to an element of a graphical user interface of an application being executed by the user device, and to link the identifier to the element of the graphical user interface. For example, the element of the graphical user interface may be linked with processing logic generated by the server, which may be executed by the server (e.g. on data that is available on the server) or by the user device itself (e.g. on data available at the user device, or using data from a third-party service). 1. An apparatus for a user device , the apparatus comprising processing circuitry configured to:obtain a user command from a user via a user interface of the user device, the user command being obtained in natural language;provide the user command in natural language to the server via an interface;obtain a response to the user command from the server via the interface, the response to the user command comprising an identifier that is assigned to the user command by the server; andassign the user command to an element of a graphical user interface of an application being executed by the user device, and to link the identifier to the element of the graphical user interface.2. The apparatus ...

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Номер записи: 62
03-02-2022 дата публикации

BRIDGE FROM NATURAL LANGUAGE PROCESSING ENGINE TO DATABASE ENGINE

Номер: US20220035799A1
Автор: Bhutada Anup, Ojha Rupam, Ramanathan Srinivasan
Принадлежит: SAP SE

Methods and systems are disclosed for bridging a natural language processing (NLP) engine to a database engine, enabling natural language queries to be handled by the database engine. The NLP engine produces a query structure, containing an intent and one or more query parameters, for a natural language query. Rules are successively applied to the query structure. When a rule matches, a corresponding action is performed to identify a sub-intent, transform query parameters, or generate a filter string. The sub-intent is mapped to a query destination, which can be an intrinsic or extrinsic service offered by the data engine. A query string is constructed, including the query destination and any filter strings, and transmitted to the database engine to answer the original query. The disclosed technologies are flexible, easily reconfigurable, and future-proof. Variations and use cases are disclosed. 1. One or more computer-readable media storing instructions which , when executed by one or more hardware processors , causes the one or more hardware processor(s) to perform operations comprising:receiving a data structure comprising, for respective fields of the data structure, an intent and one or more input query parameters extracted from a natural language query;analyzing the data structure to determine a sub-intent;transforming a set of the input query parameters into a set of output query parameters based at least partly on the sub-intent;determining a query destination based on the sub-intent;constructing an output query comprising the query destination and a filter derived from the set of output query parameters; andtransmitting the output query to the query destination.2. The computer-readable media of claim 1 , wherein the analyzing operation comprises: comparing the respective patterns of successive rules of the set of rules with the fields defined in the data structure;', 'determining that the comparing is a match, for a first rule of the successive rules; and', ...

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Номер записи: 63
03-02-2022 дата публикации

Statistical analysis system and statistical analysis method using conversational interface

Номер: US20220035892A1
Автор: Jin ho YOO, Jin Tae YOU
Принадлежит: Yoojinbiosoft Co Ltd

The present disclosure relates to a statistical analysis system. More particularly, the present disclosure relates to a statistical analysis system capable of inferring the purpose of a user's analysis, etc. through questions and answers with the user so that ordinary people easily acquire clinical and statistical analysis information, the system using a conversational interface adapted to a statistical analysis for clinical data. The present disclosure provides a statistical analysis system using a conversational interface adaptive to a statistical analysis method using clinical data, and the statistical analysis method using the system, wherein a conversational interface is applied to extract variable characteristic information required for a statistical analysis according to the purpose of the statistical analysis that a user wants and to select and set a statistical analysis algorithm according to the extracted information so that the statistical analysis is performed and statistical analysis data that the user wants is generated.

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Номер записи: 64
03-02-2022 дата публикации

EXAMPLE-DRIVEN MACHINE LEARNING SCHEME FOR DIALOG SYSTEM ENGINES

Номер: US20220036015A1
Автор: Gelfenbeyn Ilya Gennadyevich, Goncharuk Artem, Sirotin Pavel Aleksandrovich
Принадлежит:

A method for example-driven machine learning is disclosed herein. The method comprises maintaining a plurality of dialog system rules and a knowledge database including a plurality of intent objects and a plurality of entity objects. The plurality of intent objects and the plurality of entity objects are associated with at least one dialog system rule. An exemplary phrase is received and one or more linguistic elements are retrieved from the exemplary phrase. It is determined that at least one of the linguistic elements is directed to at least one of the plurality of intent objects of the plurality of entity objects and the at least one of the linguistic elements in association with the at least one dialog system rule is added to the knowledge database. 1. A method implemented by a server , comprising: 'wherein the given dialog system rule is one of a plurality of dialog system rules that indicate instructions for response of the dialog system engine to future user requests;', 'receiving, from a developer via a developer interface, and during creation of a given dialog system rule of a dialog system engine, at least a portion of the given dialog system rule,'} 'wherein each exemplary phrase, of the multiple exemplary phrases defining the intent for the given dialog system rule, include at least one or more entities;', 'receiving, from the developer via the developer interface, multiple exemplary phrases defining an intent for the given dialog system rule,'}associating, in one or more databases, the multiple exemplary phrases, the one or more entities, and the intent with the given dialog system rule to create the given dialog system rule; and receiving, from the developer via the developer interface, a test phrase to test the given dialog system rule;', 'processing, using the given dialog system rule, the test phrase to identify a particular intent and one or more particular entities associated with the test phrase;', 'causing the particular intent and the one or ...

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Номер записи: 65
03-02-2022 дата публикации

ULTRA LARGE LANGUAGE MODELS AS AI AGENT CONTROLLERS FOR IMPROVED AI AGENT PERFORMANCE IN AN ENVIRONMENT

Номер: US20220036153A1
Автор: "OMalia John Andrew", Denmon Zane
Принадлежит: ThayerMahan, Inc.

Methods and artificial intelligence agents are provided to train or guide an artificial intelligence agent. Visual data and/or text data are received from the artificial intelligence agent and/or an environment of the artificial intelligence agent. A text prompt is generated based on the visual information and/or the text data. The text prompt is provided to an ultra-large language model. Text output of the ultra-large language model is received in response to the text prompt. The artificial intelligence agent is supplied with the text output of the ultra-large language model and/or the text output converted into an alternative format. The artificial intelligence agent is configured to select an action, a series of actions, and/or the policy based on the state of an environment of the artificial intelligence agent and on the text output of the ultra-large language model and/or the text output converted into the alternative format. 1. An artificial intelligence agent controller comprisinga processor;a priming module configured to receive visual data and/or text data from an artificial intelligence agent and/or an environment of the artificial intelligence agent, wherein the artificial intelligence agent includes a neural network trained to select an action, a series of actions, and/or a policy, which results in an action outputted from the artificial intelligence agent based on a state of the environment of the artificial intelligence agent,the priming module further configured to generate a text prompt based on the visual information and/or the text data received from the artificial intelligence agent and/or the environment of the artificial intelligence agent,the priming module further configured to provide the text prompt to an ultra-large language model; anda data transportation layer configured to supply the artificial intelligence agent with a text output of the ultra-large language model generated in response to the text prompt and/or the text output converted ...

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Номер записи: 66
03-02-2022 дата публикации

SELECTION OF CRYPTOGRAPHIC IDENTIFIERS IN A BLOCK

Номер: US20220036455A1
Автор: Bennett Sheldon, Glover Adrian, Stafford-Coyte James
Принадлежит:

A method for detecting and tracking tainted cryptographic wallets. The method measures a wallet's propensity to engage in criminal or suspicious activity. Naturally, transacting with a criminal is tantamount either to funding crime or laundering its proceeds, so it is in our collective interest to identify—and then monitor or quarantine—any wallet with criminal association. The method also automatically flags risky withdrawal requests in real-time for further review before committing them to the blockchain. In some embodiments, the exchange can quarantine wallets at a certain AddressScore. 1. A method of operating a pool of proof of work hashing processors (“hashing processors”) associated with a filter node and a filter node mempool comprising:receiving, by the hashing processors of the filter node from a non-filter node mempool, a plurality of events each associated with a cryptographic identifier, wherein the hashing processors are configured to generate a block data structure that is appended to a blockchain data structure, the block data structure based on a subset of the plurality of events;sorting the plurality of events based on each respective cryptographic identifier associated with each respective event of the plurality of events, wherein said sorting identifies events of the plurality of events to include in the subset where those events associated with a predetermined list of cryptographic identifiers are selectively excluded from the subset;in response to association of events in the filter node mempool with the predetermined list of cryptographic identifiers, deleting those events from the filter node mempool;propagating of events present in the filter node mempool post-deletion to other mempools;generating, by the hashing processors, the block data structure based on the subset, wherein the block data structure is compatible with a blockchain network populated by the filter node and non-filter nodes; andappending the block data structure to the ...

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Номер записи: 67
03-02-2022 дата публикации

AUDIO PROCESSING TECHNIQUES FOR SEMANTIC AUDIO RECOGNITION AND REPORT GENERATION

Номер: US20220036869A1
Автор: Neuhauser Alan, Stavropoulos John
Принадлежит:

Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score. 120-. (canceled)21. An apparatus comprising:at least one memory;computer readable instructions in the apparatus; and process a first frame of an audio signal to determine first values of a plurality of features of the audio signal;', 'associate the first frame of the audio signal with at least one of first semantic information or second semantic information based on comparison of the first values of the plurality of features to a first template associated with the first semantic information and comparison of the first values of the plurality of features to a second template associated with the second semantic information, the first template having corresponding first ranges of the plurality of features, the second template having corresponding second ranges of the plurality of features;', 'process a second frame of the audio signal to determine second values of the plurality of features; and', 'associate the second frame of the audio signal with at least one of the first semantic information or the second semantic information based on comparison of the second values of ...

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Номер записи: 68
03-02-2022 дата публикации

PRINTER CONTROL AUTOMATION FROM DOCUMENT ANNOTATION

Номер: US20220038588A1
Автор: Chan Sam Chinh Co Tang, Truong Duc Phu
Принадлежит:

Techniques to parse an electronic document to extract a comment and topological features of the electronic document to which the comment is attached, transform the comment into one or more printing command and one or more parameters of the printing command, generate a printed document from the electronic document, and apply the printing command and parameters of the printing command specifically to the topological features to which the comment is attached when generating the printed document. 1. A method comprising:parsing an electronic document to extract a comment and topological features of the electronic document to which the comment is attached;transforming the comment into one or more printing command and one or more parameters of the printing command;generating a printed document from the electronic document; andapplying the printing command and parameters of the printing command specifically to the topological features to which the comment is attached when generating the printed document.2. The method of claim 1 , wherein the printing command comprises a uniform resource locator.3. The method of claim 1 , wherein the topological features comprise a field of the electronic document to which the comment is attached.4. The method of claim 1 , wherein the topological features comprise a range of text to which the comment is attached.5. The method of claim 1 , wherein the comment comprises an identification of a column in a spreadsheet.6. The method of claim 1 , wherein the comment comprises a loop command for generating multiple different versions of the printed document.7. The method of claim 1 , wherein the comment is an annotation to the electronic document that is visually associated with the topological features.8. A method comprising:attaching a sequential list of comments to feature of a document; analyzing the comment to identify a printing command;', 'analyzing the comment to identify parameters of the printing command; and', 'operating a printer with ...

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Номер записи: 69
21-01-2021 дата публикации

ANSWER MANAGEMENT IN A QUESTION-ANSWERING ENVIRONMENT

Номер: US20210019313A1
Автор: Barker Kevin S., EGGEBRAATEN THOMAS J., Megerian Mark G., Petri John E., Pfeifer Michael D.
Принадлежит:

Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category. 1. A computer-implemented method , performed by a question-answering system having improved technical functioning such that it provides high-quality and complete responses to input queries , the method comprising:receiving, by the question-answering system, an input query, wherein the input query is a request for instructions to achieve a result;parsing, by the question-answering system using a natural language processing technique configured to analyze syntactic and semantic content, the input query;searching, by the question-answering system and based on the parsed input query, a set of corpora;generating, by the question-answering system and based on the searching, a plurality of answers;analyzing, by the question-answering system, the generated plurality of answers;generating, by the question-answering system and based on the analysis, a plurality of answer categories;sorting, by the question-answering system, the plurality of answers into the plurality of answer categories, wherein, upon the sorting, each answer is included in one answer category, there is at least one answer in at least two answer categories, and there is at least one answer category with at least two answers;generating, by the question-answering system ...

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Номер записи: 70
21-01-2021 дата публикации

APPARATUS, SYSTEM, AND METHOD FOR NATURAL LANGUAGE PROCESSING

Номер: US20210019353A1
Автор: Brown Fred, Miller Tanya M., Zartler Mark
Принадлежит:

Various embodiments are described for searching and retrieving documents based on a natural language input. A computer-implemented natural language processor electronically receives a natural language input phrase from an interface device. The natural language processor attributes a concept to the phrase with the natural language processor. The natural language processor searches a database for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase. The natural language processor maintains the concepts during an interactive session with the natural language processor. The natural language processor resolves ambiguous input patterns in the natural language input phrase with the natural language processor. The natural language processor includes a processor, a memory and/or storage component, and an input/output device. 1. A method , comprising:electronically receiving, by a computer-implemented natural language processor, a natural language input phrase from a user via an interface device;associating, by the natural language processor, a primary goal with the natural language input phrase;initiating an interactive dialogue with the user via the interface device to acquire information associated with the primary goal;associating the natural language input to a tangential goal upon determining that information received from the interface device in the interactive dialogue is not related to the primary goal, the tangential goal based on the information that is not related to the primary goal; andredirecting the interactive dialogue to a tangential request based on the tangential goal, by a context switching module, to acquire information responsive to the tangential goal.2. The method of claim 1 , further comprising claim 1 , upon completion of response to the tangential request claim 1 , redirecting the interactive dialogue claim 1 , by the context switching module ...

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Номер записи: 71
21-01-2021 дата публикации

SYSTEMS AND METHODS FOR MEDICAL SESSION COMMUNICATION

Номер: US20210020318A1
Автор: Movassaghi Safa
Принадлежит:

Disclosed herein are methods and systems of providing computerized medical communications. An exemplary method includes receiving patient account data associated with a patient and generating a plurality of questions configured to elicit responses from the patient. The method transmits the generated plurality of questions to the patient and subsequently receives response data from the patient wherein the response data is generated based on the transmitted plurality of questions. Virtual chart data is generated with a virtual chart logic based on the received response data. Provider data comprising subscribed providers is received and a secure session is generated between the patient and a provider based on at least the patient account data and the provider data. The virtual chart data is provided to the medical care provider during the session; and, upon termination, a method of acceptance is provided to the patient to indicate an approval of the secured session termination. 1. A method of providing computerized medical communications comprising:receiving patient account data associated with a patient;generating a plurality of questions configured to elicit responses from the patient;transmitting the generated plurality of questions to the patient;receiving response data from the patient wherein the response data is generated based on the transmitted plurality of questions;generating virtual chart data with a virtual chart logic based on the received response data;receiving provider data with a provider subscription logic comprising subscribed providers; andgenerating a secure session with a session logic between the patient and a provider based on at least the patient account data and the provider data;providing the virtual chart data to the provider during the secured session;terminating the secured session; andproviding a method of acceptance to the patient to indicate an approval of the secured session termination.2. The computerized medical communications ...

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Номер записи: 72
10-02-2022 дата публикации

TRANSLATION AND AUTOMATION OF PROTOCOLS IN A ROBOTIC LAB

Номер: US20220040853A1
Автор: Budd Geoffrey J., Honda Alexander Li, Sganga Jake, Singh Nikhita, Washington Jeff
Принадлежит:

A lab system configures robots to performs protocols in labs. The lab automation system receives, via a user interface, an instruction from a user to perform a protocol within a lab. The instruction may comprise text, and the lab may comprise a robot configured to perform the protocol. The lab system converts, using a machine learned model, the text into steps and, for each step, identifies one or more of an operation, lab equipment, and reagent associated with the step. In response to detecting an ambiguity/error associated with the step, the lab system notifies the user via the user interface of the ambiguity/error. The lab system may receive one or more indications from the user that resolve the ambiguity/error and update the associated steps. For each step, the lab system configures the robot to perform an identified operation, interact with identified lab equipment, and/or access/use an identified reagent. 1. A method comprising:receiving, via a graphic user interface, an instruction from a user to perform a protocol within a lab, the instruction comprising text, the lab comprising a robot configured to perform the protocol;converting, using a machine learned model, the text of the instruction into steps;for each step, identifying one or more of an operation associated with the step, lab equipment associated with the step, and a reagent associated with the step;in response to detecting an ambiguity or error associated with a step, notifying the user via the graphic user interface; and performing an identified operation associated with the step;', 'interacting with identified lab equipment associated with the step; and/or', 'accessing and using an identified reagent associated with the step., 'for each step, configuring a robot to perform the step by2. The method of claim 1 , wherein the graphic user interface displays a virtual representation of the lab and notifying the user via the graphic user interface comprises:selecting candidate lab equipment for the ...

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Номер записи: 73
16-01-2020 дата публикации

Automatic Content Presentation Adaptation Based on Audience

Номер: US20200021888A1
Автор: Marcio Ferreira Moreno, Rafael Rossi de Mello Brandao, Renato Fontoura De Gusmao Cerqueira
Принадлежит: International Business Machines Corp

A method and system of dynamically adapting a streaming media content are provided. A user device determines a class of each member of its audience. Streaming media content is received. The streaming media content is monitored to dynamically determine a rating of each segment of the streaming media content. For each segment of the streaming media content, upon determining that a rating of a segment is above a class of a most restricted member of the audience, one or more portions of the segment are adapted to alter the rating of the segment to the class of the most restricted member of the audience. The segment of the media content is then presented on a user interface of the user device.

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Номер записи: 74
17-04-2014 дата публикации

Subscription updates in multiple device language models

Номер: US20140108018A1
Автор: Andrew Phillips, David J. Kay, Eric Jun Fu, Erland Unruh
Принадлежит: Nuance Communications Inc

Systems and methods for intelligent language models that can be used across multiple devices are provided. Some embodiments provide for a client-server system for integrating change events from each device running a local language processing system into a master language model. The change events can be integrated, not only into the master model, but also into each of the other local language models. As a result, some embodiments enable restoration to new devices as well as synchronization of usage across multiple devices. In addition, real-time messaging can be used on selected messages to ensure that high priority change events are updated quickly across all active devices. Using a subscription model driven by a server infrastructure, utilization logic on the client side can also drive selective language model updates.

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Номер записи: 75
26-01-2017 дата публикации

Frictionless Interface for Virtual Collaboration, Communication and Cloud Computing

Номер: US20170024100A1
Автор: Max Andaker, Till F. Pieper
Принадлежит: Coscreen Inc

Described herein are systems and methods for a virtual communication and collaboration application platform which automates the setup and operation of a virtual collaboration session, senses and reacts to user activity and contextual cues, and provides real-time intuitive interaction steps to enable users to easily interact in a simple and user-friendly manner. The Virtual Collaboration and Computing Platform provides a shared application window visible to multiple users on different displays for which users can easily share multiple types of data and applications through basic drag-and-drop interactions.

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Номер записи: 76
26-01-2017 дата публикации

Identifying errors in medical data

Номер: US20170024517A1
Автор: Brendan C. Bull, David Contreras, Keith P. Biegert, Robert C. Sizemore, Sterling R. Smith
Принадлежит: International Business Machines Corp

A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.

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Номер записи: 77
10-02-2022 дата публикации

METHOD AND APPARATUS FOR INTELLIGENT OPERATION MANAGEMENT OF INFRASTRUCTURE

Номер: US20220043703A1
Автор: HWANG Jung Yeon
Принадлежит:

An intelligent operation management apparatus for infrastructure may include a memory and a processor. Herein, the processor may be configured to: collect data by monitoring a resource of an operation target, perform an anomaly detection analysis by various methods of visualization using a graph for the collected data, perform an abnormal prediction analysis for the collected data, and perform pre-maintenance intelligent management based on a result of the anomaly detection analysis and a result of the abnormal prediction analysis. According to an apparatus and method for intelligent operation management of infrastructure, an effect of reducing operation expense and an effect of consecutively providing the quality of service (QoS) may be expected. 1. An intelligent operation management device for infrastructure , the intelligent operation management device comprising:a memory; anda processor,wherein the processor comprises a data collection analytics platform (DCAP) module that is configured to collect data by monitoring a resource of an operation target, to perform an anomaly detection analysis of the collected data by a real-time visualization method, and to perform an abnormal prediction analysis looking for abnormal traffic by applying the collected data.2. The intelligent operation management device of claim 1 , wherein the DCAP module is further configured to express a report for a result of the anomaly detection analysis and a result of the abnormal traffic prediction analysis by means of a graph and natural language that is generated for analysis result interpretation.3. The intelligent operation management device of claim 2 , wherein the analysis result report is configured to perform augmented analytics based on the generated natural language by applying an analytics framework (AF) to the DCAP module.4. The intelligent operation management device of claim 1 , wherein the anomaly detection analysis is configured to determine claim 1 , by applying a data ...

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Номер записи: 78
10-02-2022 дата публикации

SUPPORT APPARATUS, GENERATION APPARATUS, ANALYSIS APPARATUS, SUPPORT METHOD, GENERATION METHOD, ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM

Номер: US20220043847A1
Автор: KUNIYOSHI FUSATAKA, OZAWA Jun
Принадлежит:

A support apparatus includes a generation apparatus and an analysis apparatus. The generation apparatus executes (a-1) to (a-5) with I=1 to n, and generates pieces of process information. The generation apparatus extracts material words from a document i in (a-1), extracts a treatment word i from the document i in (a-2), extracts a synthesis condition i from the document i in (a-3), extracts a characteristic value i related to a target material from the document i in (a-4), and associates the material words, the treatment word i, the synthesis condition i, and the characteristic value i with each other to generate process information i in (a-5). The analysis apparatus includes a combiner that generates composite process information including a common part common to the pieces of process information and different parts different among the pieces of process information, and an outputter that outputs the composite process information. 1. A support apparatus comprising:a generation apparatus; andan analysis apparatus, whereinthe generation apparatus executes (a-1) to (a-4) with i=1 to n, and generates process information 1 to process information n which are pieces of process information, the i being a natural number, the n being a natural number greater than or equal to 2,in the (a-1), a material word extractor included in the generation apparatus extracts material words from a document i, the material words including a starting material word indicating a starting material and a target material word indicating a target material,in the (a-2), a treatment word extractor included in the generation apparatus extracts a treatment word i from the document i, the treatment word i indicating a treatment i of generating the target material from the starting material,in the (a-3), a condition extractor included in the generation apparatus extracts a synthesis condition i from the document i, the synthesis condition i being a condition i of the treatment i,in the (a-4), a ...

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Номер записи: 79
10-02-2022 дата публикации

PROMISED NATURAL LANGUAGE PROCESSING ANNOTATIONS

Номер: US20220043967A1
Автор: Carrier Scott, Hake Paul Joseph, Lavery Andrew J., Ramos Igor S.
Принадлежит:

Aspects of the invention include a computer-implemented method for generating promise identifiers for documents. Aspects include processing a document including a reference, wherein processing includes performing natural language processing (NLP) the document, and identifying the reference included in the document. Aspects also include generating a promise identifier for the reference in the document, and responsive to processing the document, resolving the promise identifier for the reference by providing data of the reference associated with the promise identifier. Aspects of the invention also include a computer program product and system for generating promise identifiers for documents. 1. A computer-implemented method using promise identifiers for documents , the computer-implemented method comprising:processing, by a processor, a document comprising a reference, wherein processing comprises natural language processing (NLP) the document;identifying, by the processor, the reference included in the document;generating, by the processor, a promise identifier for the reference in the document; andresponsive to processing the document, resolving, by the processor, the promise identifier for the reference by providing data of the reference associated with the promise identifier.2. The computer-implemented method of claim 1 , wherein the reference is at least one of a footnote claim 1 , appendix claim 1 , or supplemental information within the document.3. The computer-implemented method of claim 1 , further comprising identifying a plurality of references in the document.4. The computer-implemented method of claim 3 , further comprising responsive to identifying the plurality of references claim 3 , generating a promise identifier for each of the plurality of references.5. The computer-implemented method of claim 4 , wherein the promise identifier for each of the plurality of references in the document is generated prior to resolving any of the promise identifiers ...

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Номер записи: 80
10-02-2022 дата публикации

UTILIZING MACHINE LEARNING MODELS, PREDICTIVE ANALYTICS, AND DATA MINING TO IDENTIFY A VEHICLE INSURANCE FRAUD RING

Номер: US20220044256A1
Автор: CONTRACTOR Gopali Raval, LAKSHMINARAYANAN Subhashini, SS Shantanu
Принадлежит:

A device may consolidate the input data associated with vehicle insurance claims to generate processed input data. The device may process claims data, treatment data, and repair shop data to resolve ambiguities in the processed input data and to generate resolved data. The device may process the resolved data to generate related data identifying relations between persons and vehicle accidents. The device may process notes of claims adjusters and vehicle accident descriptions to extract feature data identifying features. The device may process the feature data to determine contradiction data identifying contradictions in the feature data. The device may process weather data, location data, and telematics data to determine weather conditions and locations associated with the accidents. The device may process the related data, the contradiction data, the weather conditions, and the locations to generate a knowledge graph. The device may identify a fraud ring based on the knowledge graph. 1. A method , comprising:receiving, by a device, input data associated with vehicle insurance claims;consolidating and pre-processing, by the device, the input data to generate processed input data;processing, by the device, claims data, social media data, treatment data, and repair shop data, of the processed input data, with a long short-term memory model and a conditional random field model, to resolve ambiguities in the processed input data and to generate resolved data;processing, by the device, the resolved data, with a neural network model, to generate related data identifying relations between persons and vehicle accidents;performing, by the device, natural language processing on notes of claims adjusters and vehicle accident descriptions, of the resolved data, to extract feature data identifying features;processing, by the device, the feature data, with a convolutional neural network (CNN) model, to determine contradiction data identifying contradictions in the feature data; ...

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Номер записи: 81
10-02-2022 дата публикации

METHOD AND SYSTEM FOR GENERATING CUSTOM GREETING CARDS

Номер: US20220044461A1
Автор: Lomax Judith, Lomax Tiffany, Mitchell Antoinette
Принадлежит:

A Greeting Card Platform that utilizes intellectual score data, suggested word or phrase input, custom messaging, personal photographs, and machine learning to generate a unique greeting card for an intended recipient is disclosed. 1. A method for generating a custom greeting card , the method comprising the steps of:determining the intellectual score of a plurality of users within the greeting card platform;determining the intellectual score difference between a plurality of users with the greeting card platform;accepting the input of words and phrases by a plurality of users;accepting the input of at least one photograph by at least one usergenerating a greeting card message of at least one greeting card for at least one intended greeting card recipient; andgenerating at least one greeting card for at least one intended greeting card recipient.2. The method of claim 1 , whereby the intellectual score is numerical.3. The method of claim 2 , whereby the numerical representations of the intellectual score may be determined by a series of computations derived from empirical data claim 2 , user input data claim 2 , and quantifiable metric data.4. The method of claim 2 , whereby the numerical representation of the intellectual score and may be received as at least one sequence of data claim 2 , wherein said sequence of data may be maintained in a historical database.5. The method of claim 1 , whereby the intellectual score of the plurality of users within the greeting card platform may be determined by at least one categorical data input the plurality of users.6. The method of claim 5 , whereby the at least one categorical data input is user self-assessment data.7. The method of claim 1 , whereby the user provides the greeting card platform with preferred words or phrases.8. The method of claim 1 , whereby the greeting card platform provides the user with optional words or phrases.9. The method of claim 1 , whereby the intellectual score divergence between a plurality ...

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Номер записи: 82
10-02-2022 дата публикации

AUTOMATED GENERATION OF STRUCTURED PATIENT DATA RECORD

Номер: US20220044812A1
Автор: "ONEILL Tyler J.", Barnes Michael, BIENERT Stefanie, KEJARIWAL Anish, LOU Weng Chi, McCUSKER Margaret, PRIME Matthew, VLADIMIROVA Antoaneta, Xiao Yan
Принадлежит:

In one example, a method of extracting patient information for a medical application comprises: receiving patient data of a patient; processing the patient data using a learning system with Artificial Intelligence (AI)-assisted clinical extraction tool, the processing comprising: extracting, based on a trained language extraction model that reflects language semantics and a user's prior habit of entering other patient data, data elements from the patient data and data categories represented by the data elements, and mapping at least some of the extracted data elements to pre-determined data representations based on the data categories; populating fields of a data record of the patient based on the pre-determined data representations; and storing the populated data record in a database accessible by the medical application. 1. A method of extracting patient information for a medical application , comprising:receiving patient data of a patient; ["extracting, based on a trained language extraction model that reflects language semantics and a user's prior habit of entering other patient data, data elements from the patient data and data categories represented by the data elements, and", 'mapping at least some of the extracted data elements to pre-determined data representations based on the data categories;, 'processing the patient data using a learning system with Artificial Intelligence (AI)-assisted clinical extraction tool, the processing comprisingpopulating fields of a data record of the patient based on the pre-determined data representations; andstoring the populated data record in a database accessible by the medical application.2. The method of claim 1 , wherein the AI-assisted clinical extraction tool comprises a natural language processor;wherein the language extraction model is trained using a set of training data comprising at least one of: a common text data model, dictionaries, hierarchical text data, or tagged text data;wherein the language extraction ...

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Номер записи: 83
28-01-2021 дата публикации

SYSTEMS AND METHODS FOR INSERTION OF FORMATTED TEXT WITH SPEECH RECOGNITION

Номер: US20210027768A1
Автор: Weeks Curtis A.
Принадлежит:

Embodiments described herein include a method for insertion of formatted text with speech recognition. One embodiment of the method includes creating a speech recognition command and executing the speech recognition command. Creating the speech recognition command may include receiving a selection by a user to add a plurality of actions to the speech recognition command and receiving a user-defined trigger command for the speech recognition command. In some embodiments, creating the speech recognition command includes receiving a definition of the text grammar, wherein the definition of the text grammar includes at least one command part and at least one command definition and storing the speech recognition command. 1. A method for insertion of formatted text with speech recognition comprising: receiving a selection by a user to add a plurality of actions to the speech recognition command, wherein the plurality of actions includes performing a first action and inserting a text grammar;', 'receiving a user-defined trigger command for the speech recognition command;', 'receiving a definition of the text grammar, wherein the definition of the text grammar includes at least one command part and at least one command definition; and', 'storing the speech recognition command; and, 'creating, by a computing device, a speech recognition command, wherein creating the speech recognition command includes providing a target application interface;', 'receiving the user-defined trigger command and associated speech;', 'selecting a position in the target application interface;', 'converting the associated speech into text; and', 'inserting the text at the position., 'executing, by the computing device, the speech recognition command, wherein executing the speech recognition command includes2. The method of claim 1 , wherein creating the speech recognition command further comprises providing a first text field to define the at least one command part claim 1 , wherein defining the at ...

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Номер записи: 84
24-04-2014 дата публикации

Statistical linguistic analysis of source content

Номер: US20140114642A1
Автор: Jason Matthew DENT, Laurens VAN DEN OEVER
Принадлежит: Jason Matthew DENT, Laurens VAN DEN OEVER

Systems and method for statistical linguistic analysis. According to some embodiments, methods may include evaluating a source text using one or more types of statistical linguistic analysis to determine a translatability of the source text and providing the translatability of the source text to a client node.

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Номер записи: 85
01-02-2018 дата публикации

Steering Seismic Texture Analysis Algorithms Using Expert Input

Номер: US20180032839A1
Автор: Alecio Pedro Delazari Binotto, Emilio Ashton Vital Brazil, Michael Raghib Moreno, Renato Fontoura De Gusmao Cerqueira, Rodrigo da Silva Ferreira, Vagner Figueredo de Santana, Viviane Torres da Silva
Принадлежит: International Business Machines Corp

A method is provided, the method including: displaying an image on a display; detect a user input corresponding to one or more portions of the image; analyzing the user input to determine at least one feature vector corresponding to the user input; and determining a classification for the one or more portions of the image based at least on the at least one feature vector.

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Номер записи: 86
17-02-2022 дата публикации

Auto-completion for Gesture-input in Assistant Systems

Номер: US20220050696A1
Автор: Kumar Anuj, Penov Francislav P., Presant William Crosby
Принадлежит:

In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system. 1. A method comprising , by one or more computing systems:receiving, from a client system associated with a first user, an initial input from the first user, wherein the initial input is in a first modality;determining, by an intent-understanding module, one or more intents corresponding to the initial input;generating, based on the one or more intents, one or more candidate continuation-inputs, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality; andsending, to the client system, instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs.2. The method of claim 1 , wherein the first modality comprises one of audio claim 1 , text claim 1 , image claim 1 , video claim 1 , motion claim 1 , or orientation.3. The method of claim 2 , wherein the first modality comprises motion claim 2 , and wherein the initial input comprises a gesture.4. The method of claim 2 , wherein the first modality comprises orientation claim 2 , and wherein the initial input comprises a gaze on an object.5. The method of claim 1 , further comprising:determining that the first user needs one or more suggested inputs.6. The method of ...

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Номер записи: 87
17-02-2022 дата публикации

SELECTIVELY TARGETING CONTENT SECTION FOR COGNITIVE ANALYTICS AND SEARCH

Номер: US20220050837A1
Автор: Christenson David Alan, Rykal Nathaniel Evan, Weber Daniel
Принадлежит:

A computer system includes a natural language processing (NLP) unit, a storage unit, a user interface and a search engine. The NLP unit analyzes a content source to identify one or more sections containing searchable content and generate section metadata respective to each identified section included in the content source. The storage unit stores the section metadata and the user interface receives a section-scoped query aimed at searching an identified section corresponding to the at least one first section metadata stored in the storage unit without searching an identified section corresponding to at least one second section metadata stored in the storage unit. Based on the section-scoped query, the search engine analyzes the at least one first section metadata stored in the storage unit without analyzing the at least one second section metadata. 1. A computer-implemented method comprising:analyzing, via a natural language processing (NLP) unit, at least one content source to identify a plurality of sections containing searchable content;generating, via the NLP unit, section metadata respective to each identified section included in the at least one content source;storing the section metadata in a storage unit;receiving, via a user interface, a section-scoped query configured to search an identified section corresponding to the at least one first section metadata stored in the storage unit without searching an identified section corresponding to at least one second section metadata stored in the storage unit; andbased on the section-scoped query, analyzing via a search engine, the at least one first section metadata stored in the storage unit without analyzing the at least one second section metadata.2. The computer-implemented method of claim 1 , wherein the at least one content source includes a first content source including a first plurality of sections and a second content source including a second plurality of sections claim 1 , the second content source ...

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Номер записи: 88
17-02-2022 дата публикации

FAVORITES MANAGEMENT AND INFORMATION SEARCH SERVICE PROVIDING SYSTEM AND FAVORITES MANAGEMENT AND INFORMATION SEARCH SERVICE PROVIDING METHOD USING SAME

Номер: US20220050885A1
Автор: Kim Jun
Принадлежит:

The present invention relates to a favorites management and information search service providing system and a favorites management and information search service providing method using same. According to the present invention, by resolving problems in favorites systems and methods of an existing technology in which a user has to individually add web pages visited by the user to favorites and thus favorites items are difficult to manage and inconvenient to use as the number of the favorites items increases, a user can add a relevant web page to favorites simply by clicking the address of a favorites management website, can easily manage the stored favorites items and can easily share with other users. Also, when the user inputs a search word, the search word is analyzed and search results from a plurality of preset search engines and websites are provided simultaneously. If a website is in a foreign language, an automatic translation into a national language is provided. Therefore, the user can more conveniently store and use favorites and also quickly and easily receive desired search results. 1. A bookmark management and information search service providing system including a server configured to provide a bookmark management and information search service , wherein the server includes:a bookmark service providing unit, which includes a bookmark registration processing module configured to perform a process of saving a bookmark and registering the bookmark according to a request of a user, which is received from a user terminal and includes a bookmark access processing module configured to perform a process of bookmark access including managing, searching, and sharing the saved bookmark so as to perform overall processes for the bookmark such as the managing, searching, and sharing of the bookmark; anda search service providing unit configured to perform overall processes for a search service in which a corresponding search word is analyzed based on a user's search ...

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Номер записи: 89
17-02-2022 дата публикации

UNSUPERVISED METHOD TO GENERATE ANNOTATIONS FOR NATURAL LANGUAGE UNDERSTANDING TASKS

Номер: US20220050955A1
Автор: Awadalla Hany Mohamed Hassan, Awadallah Ahmed, Mukherjee Subhabrata
Принадлежит:

A method for training a machine learning model with parallel annotations of source instances and while facilitating security of the source instances can be performed by a system that generates a coupled machine learning model from (1) a first machine learning model trained on a first set of training data comprising unannotated natural language and (2) a second machine learning model trained on populated target templates which are populated with a plurality of vocabulary words. Once formed, the coupled machine learning model is configured to transform unannotated natural language into annotated machine-readable text. 1. A computer implemented method for training a machine learning model with generated annotations of source instances and while facilitating security of the source instances , the method being implemented by a computing system that includes at least one hardware processor and the method comprising:the computing system receiving a first set of training data comprising a plurality of source instances comprising unannotated natural language;the computing system training a first machine learning model with the first set of training data, the first machine learning model being configured to understand a semantic structure of the first set of training data;the computing system receiving electronic content comprising (i) a set of target templates comprising a plurality of keys and (ii) a set of vocabulary words comprising a plurality of values, the plurality of values corresponding to the plurality of keys;the computing system automatically populating the set of target templates with the set of vocabulary words to generate a second set of training data comprising synthetically populated target templates of key-value pairings, the second set of training data being formatted as annotated machine-readable text;the computing system training a second machine learning model with the second set of training data, the second machine learning model being configured to ...

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Номер записи: 90
17-02-2022 дата публикации

Systems and methods for deep learning based approach for content extraction

Номер: US20220051011A1
Автор: Chun-Han Yao, Rofaida Abdelaal, Sridharan Palaniappan, Umang Patel
Принадлежит: Verizon Media Inc

Disclosed are systems and methods for extracting content based on image analysis. A method may include receiving content including at least an image depicting a coupon; converting the received content into a larger image including the image depicting the coupon; determining, utilizing one or more neural networks, the image depicting the coupon within the larger image, wherein determining the image depicting the coupon comprises: segmenting a foreground bounding box including the image depicting the coupon from background image portions of the image; cropping the larger image based on the bounding box, wherein the cropped image consists of the image depicting the coupon; determining text included in the cropped image; and extracting information included in the coupon based on the determined text.

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Номер записи: 91
17-02-2022 дата публикации

EVENT ANALYSIS BASED ON TRANSACTION DATA ASSOCIATED WITH A USER

Номер: US20220051270A1
Автор: "Benkreira Abdelkader MHamed", EDWARDS Joshua, MOSSOBA Michael
Принадлежит:

A device may receive event data associated with a calendar event of a digital calendar of a user and determine, using a machine learning model, a transaction score associated with a probability that the calendar event involves an event transaction. The machine learning model may be trained based on calendar data associated with historical calendar events and transaction data associated with historical transactions. The device may cause, based on the transaction score satisfying a score threshold, the machine learning model to analyze a transaction log of a transaction account of the user to identify transaction information associated with the calendar event. The device may perform an action associated with the transaction information and the calendar event. 1. A method , comprising: 'wherein the calendar data is associated with a digital calendar of a user;', 'receiving, by a device, access information associated with analyzing calendar data in association with a transaction analysis,'}identifying, by the device and from the calendar data, event data of a calendar event on the digital calendar; 'wherein the transaction event recognition model includes a first machine learning model that is trained to identify calendar events that involve event transactions;', 'determining, by the device and using a transaction event recognition model, a transaction score associated with a probability that the calendar event is associated with an event transaction,'} 'wherein the transaction analysis model includes a second machine learning model that is configured to identify a transaction pattern associated with timing of the calendar event and determine the transaction value from transactions of the transaction pattern; and', 'causing, by the device and based on the transaction score satisfying a score threshold, a transaction analysis model to analyze a transaction log of a transaction account of the user to identify a transaction value associated with the event transaction,'} ...

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Номер записи: 92
17-02-2022 дата публикации

Whisker and Paw web application

Номер: US20220051764A1
Автор: Adon Alina, Gigliotti Patricia, Porter Patricia
Принадлежит:

Methods and apparatus of a smart electronic health records platform for veterinarians and human providers are disclosed. The platform integrates clinical IT systems with patient tracking whiteboards, billing processes and artificial intelligence software to increase efficiency of the patient treatment process. By aggregating many services into one platform, interaction and communication between clinics and patients will be enhanced and streamlined. 1. An web application defined by program code on computer readable memory , wherein the program code is configured to:store a plurality of health records;allow a medical practitioner to take and store a plurality of new health records;allow a medical practitioner to take a plurality of medical notes digitally;distribute the health records deliberately to a client, an administrator, or a practitioner;integrate a patient tracking system with the health records;employ an artificial intelligence software;employ a database of information from a veterinary advisor textbook and a practical veterinarian knowledgebase;2. The artificial intelligence of wherein the program code is further configured to:receive information about a plurality of symptoms via a natural language process;connect symptoms to a plurality of diagnoses and a plurality of treatment plans;summarize a plurality of findings;distribute and display this information to a plurality of medical practitioners, administrators, and clients;3. The web application of wherein the program code is further configured to:integrate a plurality of known software for billing, scheduling, and calendaring;allow a client to pay a medical bill in the web application;allow a administrator to submit a insurance claim;allow a client and administrator to share a calendar;4. The patient tracking system of wherein the program code is further configured to:allow the system to be interactive;prompt a practitioner to complete steps of a patient care process;alert a member of the patient care ...

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Номер записи: 93
30-01-2020 дата публикации

Dialogue method, dialogue system, dialogue apparatus and program

Номер: US20200034434A1
Автор: Hiroaki Sugiyama, Hiromi NARIMATSU, Hiroshi Ishiguro, Takamasa Iio, Tsunehiro ARIMOTO, Yuichiro Yoshikawa
Принадлежит: Nippon Telegraph and Telephone Corp, Osaka University NUC

It is an object of the present invention to prevent inattentive listening to a dialogue of an agent without taking it seriously and to make it easier to understand the dialogue with the agent. A dialogue system 100 conducts a dialogue with a user 101 . A humanoid robot 50 - 1 presents a leap-in-logic utterance, which is an utterance, of which a logical structure is partially missing. The user 101 expresses a confirmation action which is an action confirming the missing information in the leap-in-logic utterance. The humanoid robot 50 - 1 presents a supplementary utterance which is an utterance describing the missing information.

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Номер записи: 94
04-02-2021 дата публикации

Request paraphrasing system, request paraphrasing model and request determining model training method, and dialogue system

Номер: US20210034817A1
Автор: Canasai KRUENGKRAI, Kanako ONISHI, Kentaro Torisawa, Noriyuki Abe, Ryu IIDA, Yoshihiko ASAO, Yutaka Kidawara
Принадлежит: National Institute of Information and Communications Technology

A request paraphrasing system 120 allowing a dialogue system to flexibly address to requests in various different manners of expression includes: a pre-processing unit 130 converting a user input 56 to a word vector sequence; and a neural paraphrasing model 94 trained in advance by machine learning to receive the word vector sequence as an input and paraphrasing a request represented by the word vector sequence to a request having a higher probability of obtaining an answer from a question-answering device 122 than the request before paraphrasing. As pre-processing, whether the user input 56 is a request or not may be determined and it may be paraphrased only when it is determined to be a request. Further, a classification model 98 may classify the input request to determine to which request class it belongs, and the classification may be input as one feature to neural paraphrasing model 94.

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Номер записи: 95
24-02-2022 дата публикации

METHODS AND SYSTEMS FOR SELF-FULFILLMENT OF AN ALIMENTARY INSTRUCTION SET BASED ON VIBRANT CONSTITUTIONAL GUIDANCE

Номер: US20220054091A1
Автор: Neumann Kenneth
Принадлежит: KPN INNOVATIONS, LLC.

A system for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance is disclosed. The system includes at least a server. The system includes a diagnostic engine, operating on the at least a server configured to generate a diagnostic output for a user. The system includes an alimentary instruction set generator module configured to generate at least an alimentary instruction set as a function of the diagnostic output. The alimentary set generator is configured to update the at least an alimentary instruction set as a function of an alimentary self-fulfillment action. The system includes a fulfillment module which receives, from a user device at least a user entry containing the alimentary self-fulfillment action. The user entry comprises a digital reproduction from a user device. A method for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance is disclosed. 1. A system for self-fulfillment of an alimentary instruction set based on vibrant constitutional guidance , the system comprising:at least a server;a diagnostic engine operating on the at least a server, the diagnostic engine configured to generate a diagnostic output for a user;{'claim-text': ['generate at least an alimentary instruction set as a function of the diagnostic output; and', 'update the at least an alimentary instruction set as a function of an alimentary self-fulfillment action; and'], '#text': 'an alimentary instruction set generator module operating in the at least a server configured to:'}{'claim-text': 'receive, from a user device, at least a user entry containing the alimentary self-fulfillment action, wherein the user entry comprises a digital reproduction from the user device.', '#text': 'a fulfillment module operating on the at least a server configured to:'}2. The system of claim 1 , wherein the diagnostic engine is configured to:receive a biological extraction;receive a first training set including a plurality of ...

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Номер записи: 96
04-02-2021 дата публикации

SYSTEMS AND METHODS TO FACILITATE HYPER-PERSONALIZED MICRO-MARKETS

Номер: US20210035140A1
Автор: FUZAYLOFF Boris
Принадлежит:

A system, method, and computer program product that facilitates markets and transactions between consumers and merchants. The system includes an enrollment process for consumers and merchants, a consumer identification module, a hyper-personalized matching process, a consumer experience feed, a purchase matching module, and a reward settlement module. The invention may implement artificial intelligence and machine learning methods to identify consumers who are likely to purchase a product or respond to a promotion and to identify promotions that an individual consumer will likely respond to. The invention can then present the identified promotions to a consumer in a personalized, emotionally engaging manner. If a consumer makes a purchase associated with the promotion, the system will identify the purchase and apply the purchase to the consumer's account. 1. A system for facilitating a market and transactions between one or more consumers and one or more merchants , comprising:an enrollment module comprising identifying information relating to consumers and merchants;a customer identification module, wherein the customer identification module identifies a purchase pattern information related to a consumer and produces one or more personal clusters,a hyper-personalized matching module, the matching module configured to analyze the purchase pattern information and personal clusters to identify one or more relevant promotions;a consumer experience feed configured to present the one or more relevant promotions to the consumer based on a plurality of information extracted from the consumer;a purchase matching module configured to analyze financial data from a bank account belonging to the consumer to identify one or more purchases made by the consumer associated with the one or more relevant promotions;a reward settlement module configured to apply the relevant promotions to the account of the user by removing funds from the account of the merchant.2. The system for ...

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Номер записи: 97
04-02-2021 дата публикации

SYSTEMS AND METHODS FOR CORRECTING ERRORS IN CAPTION TEXT

Номер: US20210037274A1
Автор: Gupta Ajay Kumar, Savarkar Abhijit Satchidanand
Принадлежит:

Systems and methods are described to address shortcomings in conventional systems by correcting an erroneous term in on-screen caption text for a media asset. In some aspects, the systems and methods identify the erroneous term in a text segment of the on-screen caption text, and identify one or more video frames of the media asset corresponding to the text segment. The systems and methods further identify a contextual term related to the erroneous term from the one or more video frames. By accessing a knowledge graph, the systems and methods identify a candidate correction based on the contextual term and a portion of the text segment. Lastly, the systems and methods replaces the erroneous term with the candidate correction. 151-. (canceled)52. A method for correcting an erroneous term in on-screen caption text of a media asset , comprising:identifying an erroneous term in a text segment of the on-screen caption text;extracting a video frame from a video stream of the media asset corresponding to the text segment;identifying a non-textual visual object in the video frame associated with the erroneous term;analyzing the non-textual visual object in the video frame to determine a contextual term associated with the erroneous term;accessing a data structure to identify a candidate correction for the erroneous term based on the contextual term and a portion of the text segment; andreplacing the erroneous term in the text segment of the closed captioning text with the candidate correction.53. The method of further comprising:determining the text segment of the on-screen caption text by analyzing an audio stream of the media asset.54. The method of claim 52 , wherein the identifying the erroneous term in the text segment further comprises performing natural language processing on the text segment to determine that the text segment conflicts with a plurality of grammar rules.55. The method of wherein the analyzing the non-textual visual object comprises performing image ...

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Номер записи: 98
24-02-2022 дата публикации

IMAGE PROCESSING METHOD AND APPARATUS, AND STORAGE MEDIUM

Номер: US20220058332A1
Автор: JIA Jiaya, KE Lei, LI Ruiyu, PEI Wenjie, SHEN Xiaoyong, TAI Yuwing
Принадлежит: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

The present disclosure provides an image processing method and apparatus, and an electronic device, and relates to the field of artificial intelligence (AI). The method includes: obtaining an input image and extracting region features of image regions in the input image to obtain a first image feature; processing pixels in the first image feature according to a predetermined rule, and determining a second image feature according to the processed pixels; and determining, based on the second image feature and at least one word vector that is determined for the input image, word vectors corresponding to the region features of the image regions in the first image feature at different moments, predicting positions of the word vectors in a text description, and forming the text description corresponding to the input image according to the word vectors and the positions. 1. An image processing method , performed by a computing device , the method comprising:obtaining an input image and extracting region features of image regions in the input image to obtain a first image feature;processing pixels in the first image feature according to a predetermined rule and determining a second image feature according to the processed pixels;determining, based on the second image feature and at least one word vector that is determined for the input image, word vectors corresponding to the region features of the image regions in the first image feature at different moments; andpredicting positions of the word vectors in a text description and forming the text description corresponding to the input image according to the word vectors and the positions.2. The method of claim 1 , wherein extracting the region features of the image regions in the input image to obtain the first image feature comprises:dividing the input image to form the image regions;performing feature extraction on objects in the image regions using an encoding network model, to obtain region features corresponding to the ...

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Номер записи: 99
24-02-2022 дата публикации

Techniques for providing explanations for text classification

Номер: US20220058347A1
Автор: Alexander Wang, Gautam Singaraju, Manish Parekh, Vishal Vishnoi
Принадлежит: Oracle International Corp

A chatbot system is configured to execute code to perform determining, by the chatbot system, a classification result for an utterance and one or more anchors each anchor of the one or more anchors corresponding to one or more anchor words of the utterance. For each anchor of the one or more anchors, one or more synthetic utterances are generated, and one or more classification results for the one or more synthetic utterances are determined. A report is generated by the chatbot system comprising a representation of a particular anchor of the one or more anchors, the particular anchor corresponding to a highest confidence value among the one or more anchors. The one or more synthetic utterances may be used to generate a new training dataset for training a machine-learning model. The training dataset may be refined according to a threshold confidence values to filter out datasets for training.

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Номер записи: 100