Dictionary Building, Modification, Or Prioritization Patents (Class 704/10)
  • Patent number: 11386274
    Abstract: Techniques are disclosed for detecting distributed incompetence in text of a conversation using communicative discourse trees and then inserting an automatic response from an autonomous agent (chatbot) or other entity. For example, a computing system generates a communicative discourse tree from utterances from multiple agents to a user. The computing system obtains a prediction of whether the text includes distributed incompetence by applying a trained predictive model to the communicative discourse tree. Based on the detection, the computing system generates an updated response to a user device.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: July 12, 2022
    Assignee: Oracle International Corporation
    Inventor: Boris Galitsky
  • Patent number: 11379754
    Abstract: A pair of records is tokenized to form a normalized representation of an entity represented by each record. The tokens are correlated to a machine learning system by determining whether a learned resolution already exists for the two entities. If not, the normalized records are compared to generate a comparison measure to determine whether the records match. The normalized records can also be used to perform a web search and web search results can be normalized and used as additional records for matching. When a match is found, the records are updated to indicate that they match, and the match is provided to the machine learning system to update the learned resolutions.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: July 5, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Satish J. Thomas, Murtaza Muidul Huda Chowdhury
  • Patent number: 11379671
    Abstract: A system is configured to analyze a corpus of historical chat data to identify the list of “best” responses. As such, the user is not required to identify a list of canned responses for input into the system. The described system uses a context word embedding function and response word embedding function to generate context vectors and response vectors corresponding to the corpus of conversation data, and the vectors are represented by a respective context matrix and a response matrix. The system processes these matrices to generate scores for responses, clusters the responses, and identifies the responses corresponding to the best scores for each cluster.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: July 5, 2022
    Assignee: Salesforce, Inc.
    Inventors: Zachary Alexander, Edgar Gerardo Velasco, Victor Winslow Yee, Na Cheng, Khoa Le
  • Patent number: 11379669
    Abstract: Embodiments relate to a system, program product, and method for dictionary membership management directed at identifying ambiguity in semantic resources. A dictionary of seed terms is applied to a text corpus and matching items in the corpus are identified. The linguistic properties for each matching item are characterized and a context pattern of each matching item is constructed. Each context pattern is applied to the dictionary and matching content between the seed terms and the context pattern is identified and quantified. Lexicon items from the dictionary that have anomalous behavior reflected in the quantification are identified. One or more seed words identified as having anomalous behavior are selectively removed from the dictionary.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: July 5, 2022
    Assignee: International Business Machines Corporation
    Inventors: Anna Lisa Gentile, Anni R. Coden, Ismini Lourentzou, Daniel Gruhl, Chad Eric DeLuca, Petar Ristoski, Linda Ha Kato, Chris Kau, Steven R. Welch, Alfredo Alba
  • Patent number: 11373220
    Abstract: A monitoring platform may obtain information that identifies a product or service and may collect one or more reviews associated with the product or service from a plurality of sources, wherein each review includes respective review information. The monitoring platform may process the one or more reviews to determine respective additional review information associated with each review of the one or more reviews. The monitoring platform may select, using a machine learning model, a particular review, of the one or more reviews, based on the review information and the additional review information associated with the one or more reviews. The monitoring platform may cause display, on a display of a client device, of a prompt for a response to the particular review and may obtain the response from the client device. The monitoring platform may cause the response to be posted to a source associated with the particular review.
    Type: Grant
    Filed: May 7, 2019
    Date of Patent: June 28, 2022
    Assignee: Capital One Services, LLC
    Inventors: Jerry Wagner, Mario Munoz
  • Patent number: 11347946
    Abstract: Techniques for using noisy-robust discourse trees to determine a rhetorical relationship between sentences. In an example, a rhetoric classification application creates a noisy-robust communicative discourse tree. The application accesses accesses a first communicative discourse tree derived from a first sentence, a third sentence, and a fourth sentence and a second communicative discourse tree derived from a second sentence, the third sentence, and the fourth sentence. The application determines that syntactic parse trees cannot be generated for the first sentence and the second sentence. The application identifies a common rhetorical relationship between the first communicative discourse tree and the second communicative discourse tree. The application removes an elementary discourse unit that does not correspond to the common rhetorical relationship from the first communicative discourse tree and the second communicative discourse tree.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: May 31, 2022
    Assignee: Oracle International Corporation
    Inventor: Boris Galitsky
  • Patent number: 11341332
    Abstract: A system for automatic prediction and generation of a Q-Code based on a text description provided in a NOTAM is provided. The present system may be utilized at a top level to generate a Q-Code from a text description or at a mid-level in the flight planning process to verify and/or confirm a human-generated Q-Code based on the text description in a NOTAM. Further, the present disclosure may allow for higher accuracy in the generation of Q-Codes thereby reducing the number of incorrect suboptimal and/or rejected flight plans produced by automatic flight planning systems.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: May 24, 2022
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Ellen N. Hein, Nazior Rahman, Kalyanaraman Vaidyanathan
  • Patent number: 11301637
    Abstract: An abstract semantic recommending device, comprising an abstract semantic expression obtaining unit to obtain a plurality of abstract semantic expressions; a receiving unit to receive an initial request message; a word segmentation unit to perform a word segmentation process on the initial request message to obtain one or more single words; a part-of-speech tagging unit to perform a part-of-speech tagging process on at least one of the one or more single words to obtain its part-of-speech information; a wordclass determination unit to perform a wordclass determination process on at least one of the one or more single words to obtain its wordclass information; a searching unit to acquire an abstract semantic candidate set relevant to the initial request message; and a matching unit to derive one or more abstract semantic expressions by performing a matching process on the several abstract semantic expressions in the abstract semantic candidate set.
    Type: Grant
    Filed: July 8, 2019
    Date of Patent: April 12, 2022
    Assignee: Shanghai Xiaoi Robot Technology Co., Ltd.
    Inventors: Yongmei Zeng, Bo Li, Gongzhi Yao, Pinpin Zhu
  • Patent number: 11289071
    Abstract: An information processing device stores, in a keyword database, keywords extracted from speech sounds picked up by a speech-sound processing device as keywords matching keyword entries in a dictionary database of the speech-sound processing device. The information processing device receives, from the speech-sound processing device, an instruction to update the dictionary database of the speech-sound processing device, and then determines, by inference, words related to the keywords stored in the keyword database, prepares an update of the dictionary database on the basis of the keywords stored in the keyword database and the related words determined by inference, and transmits the update of the dictionary database to the speech-sound processing device.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: March 29, 2022
    Assignee: Murata Manufacturing Co., Ltd.
    Inventors: Yorinobu Maeda, Yoshinari Ishibashi, Masaharu Itaya, Daisuke Hongou
  • Patent number: 11281702
    Abstract: This disclosure relates generally to an information retrieval technology and more particularly to a creation of a taxonomy to facilitate subsequent search and retrieval of information. In one embodiment, an information retrieval device is disclosed, that comprises a processor and a memory that stores instructions, which, on execution, causes the processor to receive an input corpus. Thereafter, input document clusters are generated from top input n-grams associated with the input corpus. Further, top-ranked input n-grams are determined from the top input n-grams. Thereafter, an external corpus is identified based on the top-ranked input n-grams. An enriched corpus (external and input corpus), is clustered based on top enriched n-grams associated with the enriched corpus to generate enriched document clusters. Further, for each n-gram of the enriched corpus, corresponding n-gram clusters are determined.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: March 22, 2022
    Assignee: Wipro Limited
    Inventors: Cyrus Andre Dsouza, Manu Kuchhal
  • Patent number: 11275904
    Abstract: Embodiments of the present disclosure provide a method and an apparatus for translating a polysemy, and a medium. The method includes: obtaining a source language text; identifying and obtaining the polysemy from the source language text; inquiring related words corresponding to each interpretation of the polysemy; determining a target interpretation corresponding to the related words contained in the source language text; and translating the polysemy into the target interpretation.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: March 15, 2022
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Ruiqing Zhang, Chuanqiang Zhang, Hao Xiong, Zhongjun He, Hua Wu, Zhi Li, Haifeng Wang
  • Patent number: 11269937
    Abstract: Disclosed is system for presenting information related to a search query, comprising: a client device configured to receive the search query; a database arrangement; an ontological databank and a server arrangement communicably coupled to the client device and the database arrangement, wherein the server arrangement is configured to: receive the search query, segment the search query into one or more query segments; identify one or more query concepts associated with one or more query segments, wherein each of the one or more query concepts are tagged with a corresponding entity class; determine a data structure for the information related to the search query based on one or more metrics of the relationships of the one or more query concepts, and render, on the client device, the information related to the search query presented in the data structure.
    Type: Grant
    Filed: September 29, 2018
    Date of Patent: March 8, 2022
    Assignee: Innoplexus AG
    Inventor: Vatsal Agarwal
  • Patent number: 11270078
    Abstract: The invention is a data processing method and system for suggesting insightful and surprising sentences to geoscientists from unstructured text. The data processing system makes the necessary calculations to assign a surprisingness score to detect sentences containing several signals which when combined exponentially, have tendencies to give rise to surprise. In particular, the data processing system operates on any digital unstructured text derived from academic literature, company reports, web pages and other sources. Detected sentences can be used to stimulate ideation and learning events for geoscientists in industries such as oil and gas, economic mining, space exploration and Geo-health.
    Type: Grant
    Filed: May 18, 2019
    Date of Patent: March 8, 2022
    Assignee: ExxonMobil Upstream Research Company
    Inventor: Paul Hugh Cleverley
  • Patent number: 11263392
    Abstract: Examples described herein include systems and methods for providing user-specific previews for terms within text. An example method can include receiving tracked user behavior reflecting terms selected by a user and entered into a search. A representation of known words can be created based on the tracked user behavior. By training machine-learning models for each individual user, personalized previews can be presented when each user encounters a new body of text, such as in a webpage or email. The preview can apply to a term not previously known to the user but likely to be searched by the user, relying on content gathered from a search on a search medium that the user was likely to use. The content can be presented to the user in a graphical user interface allowing for interaction and feedback.
    Type: Grant
    Filed: March 10, 2021
    Date of Patent: March 1, 2022
    Assignee: VMWARE, INC.
    Inventors: Rohit Pradeep Shetty, Erich Peter Stuntebeck
  • Patent number: 11256871
    Abstract: A method and computer product encoding the method is available for preparing a domain or subdomain specific glossary. The method included using probabilities, word context, common terminology and different terminology to identify domain and subdomain specific language and a related glossary updated according to the method.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: February 22, 2022
    Assignee: VERINT AMERICAS INC.
    Inventors: Christopher J. Jeffs, Ian Beaver
  • Patent number: 11244120
    Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes receiving first electronic information indicative of a sequence of words provided by a user and identifying, based on the first electronic information, a first word and a first natural language. The example method further includes receiving second electronic information indicative of an exogenous event and identifying, based on the second electronic information, the exogenous event. The example method further includes generating one or more natural language attribute data sets based on the identified first word, first language, and exogenous event. The example method further includes generating a natural language transliteration data set based on the one or more natural language attribute data sets.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: February 8, 2022
    Assignee: WELLS FARGO BANK, N.A.
    Inventors: Romica Juneja, Abhijit Rao
  • Patent number: 11240118
    Abstract: A mixing pattern system for networks is provided. One or more nodes in a network are analyzed. Grouping the one or more nodes into one or more classes within the network. A computer device analyzes one or more transactions between the one or more nodes in the network that include nodes within similar or distinct classes of the one or more nodes. A computer device identifies one or more mixing patterns associated with one or more transactions between the one or more nodes.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: February 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: Mandar Mutalikdesai, Pranjal Srivastava, Sheetal Srivastava, Ratul Sarkar
  • Patent number: 11227002
    Abstract: An apparatus and method of identifying semantically related records, including receiving input data from an input device, splitting the input data into a plurality of clusters according to semantic relationship, each of the clusters including a plurality of source terms and a plurality of target terms, transforming each of the plurality of clusters based on the transformation which includes tokenization of the plurality of clusters, for each of the plurality of clusters that are transformed, finding relatedness scores of a plurality of semantic relatedness measures with the plurality of target terms, building a vector of similarity scores for each of the plurality of target terms, and for each of the plurality of source terms, selecting a predetermined number of the plurality of target terms according to the similarity scores.
    Type: Grant
    Filed: November 30, 2015
    Date of Patent: January 18, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Oktie Hassanzadeh, Anastasios Kementsietsidis
  • Patent number: 11227195
    Abstract: A system and method for determining a sentiment, a gender and an age group of a subject in a video while the video is being played back. The video is separated into visual data and audio data, the video data is passed to a video processing pipeline and the audio data is passed to both an acoustic processing pipeline and a textual processing pipeline. The system and method performs, in parallel, a video feature extraction process in the video processing pipeline, an acoustic feature extraction process in the acoustic processing pipeline, and a textual feature extraction process in the textual processing pipeline. The system and method combines a resulting visual feature vector, acoustic feature vector, and a textual feature vector into a single feature vector, and determines the sentiment, the gender and the age group of the subject by applying the single feature vector to a machine learning model.
    Type: Grant
    Filed: October 2, 2019
    Date of Patent: January 18, 2022
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: El-Sayed M. El-Alfy, Sadam Hussein Al-Azani
  • Patent number: 11221856
    Abstract: Present invention concerns a method of relation extraction from a text corpus, the method comprising extracting instances from the text corpus based on seeds, wherein the seeds include at least one set of template seeds and at least one set of entity seeds. The invention also pertains to related devices and methods.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: January 11, 2022
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventor: Pankaj Gupta
  • Patent number: 11210350
    Abstract: Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity).
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: December 28, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Matthew Elkherj, Ashley Einspahr, Breanna Bunge, Chris Hammett, Erika Crawford Tom, Mitchell Beard, Ryan Beiermeister, Seelig Sinton, Sharon Hao, William Ayers, Seth Robinson
  • Patent number: 11205046
    Abstract: A method for topic early warning includes: acquiring a self-defined keyword; calculating similarity between the self-defined keyword and each word in a corpus, and acquiring extended keywords related to the self-defined keyword from the corpus according to the similarity; selecting a target keyword from the extended keywords according to a type of the extended keywords and similarity between the extended keywords and the self-defined keyword, and adding the target keyword to a target keyword list; performing real-time monitoring according to the target keyword in the target keyword list; and performing topic early warning when it is monitored that the number of topics corresponding to the target keyword reaches a preset threshold.
    Type: Grant
    Filed: June 28, 2017
    Date of Patent: December 21, 2021
    Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
    Inventors: Jianzong Wang, Zhangcheng Huang, Tianbo Wu, Jing Xiao
  • Patent number: 11196579
    Abstract: A system for determining a source and topic of content for posting in a chat group is disclosed. The system includes a memory and at least one processor. The at least one processor may be configured to perform operations including identifying a user as a source of content; identifying a topic from the content using a language analysis application; determining, from the identified topic, a particular chat group from among a set of chat groups; and posting a portion of the content as a new message from the user in a message thread for the particular chat group.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: December 7, 2021
    Assignee: RingCentral, Irse.
    Inventors: Christopher van Rensburg, Vlad Vendrow
  • Patent number: 11188580
    Abstract: Certain aspects of the present disclosure provide techniques for mapping natural language to stored information. The method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application associated with a set of topics and providing the natural language utterance to a natural language model configured to identify nodes of a knowledge graph. The method further includes, based on output of the natural language model, identifying a node of a knowledge graph associated with the natural language utterance, wherein the output of the natural language model includes a node identifier for the node of the knowledge graph and providing the node identifier to the knowledge engine. The method further includes receiving a response associated with the node of the knowledge graph from the knowledge engine and transmitting the response to the user in response to the long-tail query.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: November 30, 2021
    Assignee: INTUIT, INC.
    Inventors: Cynthia J. Osmon, Roger C. Meike, Sricharan Kallur Palli Kumar, Gregory Kenneth Coulombe, Pavlo Malynin
  • Patent number: 11188537
    Abstract: A method and associated system. Multiple virtual triples for an entity of multiple entities identified within a first data source are generated. Each virtual triple consists of a subject, a predicate, and an object. The subject is the entity. The predicate is a relationship between the entity and other entities identified within the first data source. The object is associated with an attribute of the entity. The subject, the predicate, and the object are each identified within the first data source. A degree of similarity between two entities of the two or more entities is identified by comparing the respective frequency metrics of the two entities. The two entities within the data structure are associated in response to a determination that an identified degree of similarity between the two entities exceeds a first predetermined threshold.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Patrick Dantressangle, Simon Laws, Stacey H. Ronaghan, Peter Wooldridge
  • Patent number: 11182562
    Abstract: Mechanisms are provided to perform embedding of content of a natural language document. The mechanisms receive a document data object of an electronic document and analyze a structure of the electronic document to identify one or more structural document elements that have a relationship with the document data object. A dependency data structure is generated, representing the electronic document, where edges define relationships between document elements and at least one edge represents at least one relationship between the one or more structural document elements and the document data object. The mechanisms embed the document data object based on the at least one relationship to thereby represent the document data object as a vector data structure. The mechanisms perform natural language processing on the portion of natural language content based on the vector data structure. The one or more structural document elements are non-local non-contiguous with the document data object.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: November 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Taesung Lee, Youngja Park
  • Patent number: 11170170
    Abstract: A system and method for named entity linking from the output of speech-to-text systems by using an approximate string matching that normalizes common sounds, removes ambiguities, removes silent consonants, and accounts for speech slurring for long names. Additionally, the system and method for named entity linking from the output of speech-to-text systems employs a hierarchical matching system that performs multiple attempts using various mechanisms for resolving the name, starting with a very strict mechanism, and proceeding sequentially through less strict mechanisms.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: November 9, 2021
    Assignee: Fresh Consulting, Inc
    Inventors: Robert Hild, Sean Alan McKay, Eli Rodriguez
  • Patent number: 11170034
    Abstract: A method for determining credibility of content in a number of documents includes: obtaining topics from each document; for each document, generating topic combinations, each topic combination being a subset of the topics of the document; for each topic combination, obtaining a summary from the corresponding document; performing a semantic similarity test on each pair of two summaries that are respectively from two documents, so as to obtain a similarity percentage between the two summaries; for a group of the topic combinations that are identical combinations of topic(s), calculating a credibility score for the group based on the similarity percentage(s) calculated for the summaries that correspond to the topic combinations in the group.
    Type: Grant
    Filed: September 21, 2020
    Date of Patent: November 9, 2021
    Assignee: FOXIT SOFTWARE INC.
    Inventors: Ming-Jen Huang, Chun-Fang Huang, Chi-Ching Wei
  • Patent number: 11163959
    Abstract: A computer-implemented method for word meaning generation is provided. In this method, a vocabulary notebook is obtained, wherein the vocabulary notebook stores at least one existing word that has been looked up. A concerned category is then identified based on the vocabulary notebook. It will be further determined whether a new page to be displayed contains at least one new word belonging to the concerned category. And responsive to determining that the new page contains the at least one new word, a respective meaning of the at least one new word is generated.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: November 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Gong Zhang, Tao Zhang, Yang Qi, Li Peng, Xiao Guang Luo
  • Patent number: 11151109
    Abstract: Provided are techniques for indexing and archiving multiple statements using a single statement dictionary in a document containing the multiple statements. A document comprising a statement dictionary and one or more statements is indexed by extracting a statement metadata corresponding to each of the one or more statements from the statement dictionary. Each statement metadata is stored in a database. In response to a search request for a statement, the statement is retrieved using the corresponding statement metadata.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: October 19, 2021
    Assignee: International Business Machines Corporation
    Inventors: Gregory S. Felderman, Brian K. Hoyt
  • Patent number: 11151108
    Abstract: Provided are techniques for indexing and archiving multiple statements using a single statement dictionary in a document containing the multiple statements. A document comprising a statement dictionary and one or more statements is indexed by extracting a statement metadata corresponding to each of the one or more statements from the statement dictionary. Each statement metadata is stored in a database. In response to a search request for a statement, the statement is retrieved using the corresponding statement metadata.
    Type: Grant
    Filed: November 21, 2016
    Date of Patent: October 19, 2021
    Assignee: International Business Machines Corporation
    Inventors: Gregory S. Felderman, Brian K. Hoyt
  • Patent number: 11144579
    Abstract: Techniques for document analysis using machine learning are provided. A selection of an index is received document, and a plurality of documents that refer to the index document is identified. For each respective document in the plurality of documents, a respective portion of the respective document is extracted, where the respective portion refers to the index document, and a respective vector representation is generated for the respective portion. A plurality of groupings is generated for the plurality of documents based on how each of the plurality of documents relate to the index document, by processing the vector representations using a trained classifier. Finally, at least an indication of the plurality of groupings is provided, along with the index document.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: October 12, 2021
    Assignee: International Business Machines Corporation
    Inventors: Brendan Bull, Andrew Hicks, Scott Robert Carrier, Dwi Sianto Mansjur
  • Patent number: 11140115
    Abstract: A method of assigning categories to electronic messages is performed at a computing device having one or more processors and memory. The method includes receiving an electronic message and extracting one or more syntactic pairs of words from content of the electronic message. At least one of syntactic pairs includes a verb in a first sentence and an object in the same sentence, where the verb operates on the object. The method forms a feature vector based on the extracted syntactic pairs and uses the feature vector as input to a classifier. The classifier is trained on a set of training feature vectors, and each training feature vector is associated with a respective category. The method assigns a first category to the electronic message based on output of the classifier and displays the message in a group with other messages associated with the first category.
    Type: Grant
    Filed: December 9, 2014
    Date of Patent: October 5, 2021
    Assignee: GOOGLE LLC
    Inventor: Laszlo Lukacs
  • Patent number: 11112909
    Abstract: Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: September 7, 2021
    Assignee: Capital One Services, LLC
    Inventors: Abdelkader M'Hamed Benkreira, Nimma Bhusri, Tyler Maiman
  • Patent number: 11114098
    Abstract: An apparatus estimates, based on an input from a user to an interaction performed during a conversation between the user and the apparatus, an interest degree indicating a degree of interest of the user in a first topic included in the interaction, and estimates, based on the input from the user to the interaction, acceptability of the interaction by the user. The apparatus selects, in accordance with the interest degree and the acceptability, as an operation mode for performing the interaction, one of a first mode of leaving an interaction initiative to the user and a second mode in which the interaction proceeds under an initiative of a system for a specific topic. The apparatus generates interaction data according to the selected operation mode, and causes an output device to output the generated interaction data.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: September 7, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Takashi Imai, Kei Taira
  • Patent number: 11102151
    Abstract: A messaging server employs a chat agent for gather and transmitting abbreviations and definitions via a messaging application. In this application, abbreviations include acronyms, shortened phrases, and colloquial terms or language. Definitions describe an abbreviation and may include textual information and contextual media. The chat agent may receive an abbreviation and definition from a user or may automatically determine the abbreviation and definition from messages on the messaging application. The chat agent transmits the definition and abbreviation to an approval system, which verifies the definition. Once approved, the abbreviation database stores the abbreviation and definition. When another user requests the definition for an abbreviation, the chat agent queries abbreviation database and returns the definition in a message to the user via the messaging application.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: August 24, 2021
    Assignee: Facebook, Inc.
    Inventors: Nathan L. Reuss, Carol Lynn Orsini
  • Patent number: 11093688
    Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: August 17, 2021
    Assignee: Mayo Foundation for Medical Education and Research
    Inventor: Randall C. Walker
  • Patent number: 11080249
    Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: determining a category of a domain having content documents and gathering search terms frequently used in similar domains associated with the category. A ground truth table has domain search results as discovered from searches by use of the search terms from the similar domains. Ground truths are utilized in later searches for optimal search results.
    Type: Grant
    Filed: November 27, 2017
    Date of Patent: August 3, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Lisa Seacat DeLuca, Keith L. Vertrees
  • Patent number: 11080483
    Abstract: Techniques for generating unregistered internet domain names using machine learning are presented. The techniques include parsing terms in an embedding training corpus of computer-readable text produce a tokenized embedding training corpus of text; adding tag(s) to produce a tagged tokenized embedding training corpus of text; vectorizing to produce a vector space embedding model mapping tagged tokenized terms to vectors; parsing domain names of a domain name training corpus of registered domain names to obtain a tokenized domain name training corpus; adding at least one tag to tokens to obtain a tagged tokenized domain name training corpus; vectorizing using the vector space model to produce a vectorized domain name training corpus; training a machine learning algorithm with the vectorized domain name training corpus to produce a trained machine learning model; generating an output domain name by the trained machine learning model; and outputting the output domain name.
    Type: Grant
    Filed: February 28, 2018
    Date of Patent: August 3, 2021
    Assignee: VERISIGN, INC.
    Inventors: Mohammad Raihanul Islam, Yaser Keneshloo, Yannis Labrou, Andrew West
  • Patent number: 11076039
    Abstract: Systems and processes for accelerating task performance are provided. An example method includes, at an electronic device including a display and one or more input devices, displaying, on the display, a user interface including a suggestion affordance associated with a task, detecting, via the one or more input devices, a first user input corresponding to a selection of the suggestion affordance, in response to detecting the first user input: in accordance with a determination that the task is a task of a first type, performing the task, and in accordance with a determination that the task is a task of a second type different than the first type, displaying a confirmation interface including a confirmation affordance.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: July 27, 2021
    Assignee: Apple Inc.
    Inventors: Ari Weinstein, Oluwatomiwa Alabi, Kellie Albert, John Blatz, Cyrus D. Irani, Ieyuki Kawashima, Stephen O. Lemay
  • Patent number: 11036941
    Abstract: Provided are a computer program product, system, and method for generating a plurality of document plans to generate questions from source text. The declarative source text is processed to generate a plurality of document plan data structures. To generate each document plan data structure, at least a portion of the declarative source text is included in the document plan data structure. A determination is made of at least one relation of arguments in the declarative source text. The determined at least one relation and the arguments are indicated in the document plan data structure. Entity types of the arguments are determined and indicated in the document plan data structure. A natural language generation module processes each of the document plan data structures to generate a plurality of questions, which are stored with the declarative source text.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: June 15, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Nicholas B. Moss, Donna K. Byron
  • Patent number: 11030233
    Abstract: The present disclosure provides for augmenting a presentation document to auto-cite references to material present in non-displayed parts of the presentation document identified via natural language processing (NLP) via displaying, in a graphical user interface (GUI), a given zone of a plurality of zones included in a presentation document; identifying, in an utterance received while the given zone is displayed in the GUI, a given key concept; identifying, via a content association map associated with the presentation document that identifies key concepts recited in the presentation document and which zones of the plurality of zones the key concepts appear in, a different zone of the plurality of zones that is not currently displayed in the GUI but in which the given key concept appears; and displaying, in the GUI concurrently with display of the given zone, a visual indicator related to the different zone.
    Type: Grant
    Filed: January 17, 2019
    Date of Patent: June 8, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rizwan Sheikh Abdulla, Konda Reddy Dumpa, Seema Nagar, Kuntal Dey
  • Patent number: 11030226
    Abstract: Systems, computer-implemented methods and/or computer program products that facilitate answering questions that involve mathematical computations are provided. In one embodiment, a computer-implemented method comprises: transforming, by a system operatively coupled to a processor, a natural language query into a first logical representation and extrinsic knowledge into a second logical representation relevant to the natural language query; merging, by the system, the first logical representation and the second logical representation into a third logical representation; and generating, by the system, answers for the natural language query based on processing of the third logical representation.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: June 8, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Elizabeth Daly, Charles Arthur Jochim, Akihiro Kishimoto, Vanessa Lopez Garcia, Radu Marinescu
  • Patent number: 11023573
    Abstract: A computer implemented method is used for changing a password in a multi-domain environment. The method includes obtaining a private key and a public key from a security card at a user device in a user domain, transferring the public key to a controller in a secure domain, requesting a password change, receiving a public key encrypted new password from the secure domain, and decrypting the new password using the private key.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: June 1, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kameshwar Jayaraman, Nicholas Elliot Claunch, Priyanshu Kumar Jha, Shankaranand Arunachalam
  • Patent number: 11017169
    Abstract: Provided is a computer implemented method for suggesting one or more candidate words from a list of words based on an input string received at an electronic device. Preferably, the list of words comprises an ordered list of words. The method comprises a first step of providing an array in memory for receiving edit distance values between initial substrings of the input string and initial substrings of each word in a set of some or all of the words in the list of words. The method includes applying an edit distance algorithm comparing a selected word to a received input string in order to obtain the aforementioned edit distance values. The selected word may comprise an empty string of no characters.
    Type: Grant
    Filed: January 2, 2016
    Date of Patent: May 25, 2021
    Assignee: What3words Limited
    Inventor: Mohan Ganesalingam
  • Patent number: 11017775
    Abstract: A method for electronically utilizing content in a communication between a customer and a customer representative is provided. An audible conversation between a customer and a service representative is captured. At least a portion of the audible conversation is converted into computer searchable data. The computer searchable data is analyzed during the audible conversation to identify relevant meta tags previously stored in a data repository or generated during the audible conversation. Each meta tag is associated with the customer. Each meta tag provides a contextual item determined from at least a portion of one of a current or previous conversation with the customer. A meta tag determined to be relevant to the current conversation between the service representative and the customer is displayed in real time to the service representative currently conversing with the customer.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: May 25, 2021
    Assignee: United Services Automobile Association (“USAA”)
    Inventors: Zakery L. Johnson, Jonathan E. Neuse
  • Patent number: 11010687
    Abstract: Methods and apparatus for detecting abusive language are disclosed. In one embodiment, a set of character N-grams is ascertained for a set of text. Feature values for a plurality of features of the set of text are determined, based, at least in part, on the set of character N-grams. A computer-generated model is applied to the feature values for the plurality of features to generate a score for the set of text, where the model includes a plurality of weights, each of the weights corresponding to one of the features. It may then be determined whether the set of text includes abusive language based, at least in part, on the score.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: May 18, 2021
    Assignee: Verizon Media Inc.
    Inventors: Yashar Mehdad, Joel Tetreault
  • Patent number: 11010673
    Abstract: System and method for automatic entity relationship (ER) model generation for services as software is disclosed. ER model generation by automated knowledge acquisition is disclosed, and automation of knowledge generation process is disclosed. Information extraction process is automated and multilevel validation of information extraction process is provided. System comprises training module to train information extraction model, and knowledge generation module for population of ER model. Standard Operators are generated based on the ER model so generated (populated). Context aware entity extraction is implemented for the ER model generation. System and method leverages existing ER model to make the system self-learning and intelligent, and provides common platform for knowledge generation from different data sources comprising documents, database, website, web corpus, and blog.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: May 18, 2021
    Assignee: Tata Consultancy Limited Services
    Inventors: Sandeep Chougule, Anil Kumar Kurmi, Harrick Mayank Vin, Rahul Ramesh Kelkar, Sharmishtha Prakash Kulkarni, Amrish Shashikant Pathak, Girish Keshav Palshikar, Sachin Pawar, Nitin Vijaykumar Ramrakhiyani
  • Patent number: 10997678
    Abstract: In one embodiment, a method for searching for drawings found in a set of patent-related documents includes receiving a search query, and searching a parts index for part names matching one or more terms in the search query. The method further includes displaying one or more drawings, wherein the one or more drawings include at least one part name within the search query and the part name is stored within the parts index. In another embodiment, a method for searching for drawings includes receiving a request to search for drawings relating to a select drawing of a patent-related document, extracting parts information from the select drawing, and comparing the extracted parts information with parts information stored in a parts index. The method further includes determining that one or more drawings are similar to the select drawing, and displaying the one or more drawings.
    Type: Grant
    Filed: September 11, 2018
    Date of Patent: May 4, 2021
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Brian K. Elias, Matthew C. Morrise, Ray Daley
  • Patent number: 10984052
    Abstract: A method and system for searching encrypted data using wildcard keywords. The method includes: obtaining, by a first computing device, a keyword for data to be encrypted, where the keyword has a fixed length; generating a sequence of primes; determining corresponding one prime from the sequence of primes for each character of the keyword; and defining a product of the corresponding primes of the characters of the keyword as index of the encrypted data, where the index can be searched using a wildcard search keyword.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: April 20, 2021
    Assignees: Beijing Jingdong Shangke Information Technology Co., Ltd., JD.com American Technologies Corporation
    Inventors: Qiuxiang Dong, Yueh-Hsun Lin, Wei Gao, Jimmy Su