Dictionary Building, Modification, Or Prioritization Patents (Class 704/10)
  • Patent number: 12001804
    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: May 19, 2022
    Date of Patent: June 4, 2024
    Assignee: Oracle International Corporation
    Inventor: Boris Galitsky
  • Patent number: 12001806
    Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes generating a natural language attribute data set based on a first word in a sequence of words provided by a user, a first natural language of the word, and one or more exogenous events. The example method further includes generating a natural language transliteration data set based on the natural language attribute data set. The example method further includes generating a translation of the first word in a second natural language based on the natural language transliteration data set. The example method further includes generating, using machine learning and based at least in part on the translation, a response signal for transmission to a client device.
    Type: Grant
    Filed: December 23, 2021
    Date of Patent: June 4, 2024
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Romica Juneja, Abhijit Rao
  • Patent number: 11989515
    Abstract: A computer-implemented method according to one embodiment includes receiving a plurality of linguistic expressions (LEs); changing one or more conditions of the plurality of linguistic expressions to create an updated plurality of linguistic expressions, utilizing a visual exploration framework (VEF) that visually presents to a user each of the plurality of linguistic expressions; and including the updated plurality of linguistic expressions in a model used to classify input sentences. According to another embodiment, a computer-implemented method includes receiving (i) a set of linguistic expressions (LEs) and (ii) a set of labeled data as input, where the LEs are logical combinations of predicates learned from the labeled data, and each data point in the labeled data comprises a piece of text and ground-truth labels; presenting the LEs in a visual exploration framework; and allowing a user to sort, filter, subset, and select LEs based on different criteria, utilizing the framework.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: May 21, 2024
    Assignee: International Business Machines Corporation
    Inventors: Prithviraj Sen, Yiwei Yang, Yunyao Li, Eser Kandogan
  • Patent number: 11977975
    Abstract: A learning method to be executed by a computer, the learning method includes when a first input sentence in which a predetermined target is represented by a first named entity is input to a first machine learning model, learning a first parameter of the first machine learning model such that a value output from the first machine learning model approaches correct answer information corresponding to the first input sentence; and when an intermediate representation generated when the first input sentence is input to the first machine learning model and a second input sentence in which the predetermined target is represented by a second named entity are input to a second machine learning model, learning the first parameter and a second parameter of the second machine learning model such that a value output from the second machine learning model approaches correct answer information corresponding to the second input sentence.
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: May 7, 2024
    Assignee: FUJITSU LIMITED
    Inventor: Tomoya Iwakura
  • Patent number: 11972214
    Abstract: Disclosed is a method and an apparatus NER-orientated Chinese clinical text data augmentation, and unannotated data and annotated data of label linearization processing through data preprocessing. A concealed part is predicted based on retained information by using the unannotated data and concealing part of information in text, and meanwhile an entity word-level discrimination task is introduced for pre-training of a span-based language model; and a plurality of decoding mechanisms are introduced in a fine-tune stage, a relationship between a text vector and text data is obtained based on the pre-trained span-based language model, linearized data with entity labels is converted into the text vector, and text generation is performed through forward decoding and reverse decoding in a prediction stage of a text generation model to obtain enhanced data with annotation information.
    Type: Grant
    Filed: July 6, 2023
    Date of Patent: April 30, 2024
    Assignee: ZHEJIANG LAB
    Inventors: Jingsong Li, Lixin Shi, Ran Xin, Zongfeng Yang, Yu Tian, Tianshu Zhou
  • Patent number: 11966703
    Abstract: Certain aspects of the present disclosure provide techniques for generating a replacement sentence with the same or similar meaning but a different sentiment than an input sentence. The method generally includes receiving a request for a replacement sentence and iteratively determining a next word of the replacement sentence word-by-word based on an input sentence. Iteratively determining the next word generally includes evaluating a set of words of the input sentence using a language model configured to output candidate sentences and evaluating the candidate sentences using a sentiment model configured to output sentiment scores for the candidates sentences. Iteratively determining the next word further includes calculating convex combinations for the candidate sentences and selecting an ending word of one of the candidate sentences as the next word of the replacement sentence. The method further includes transmitting the replacement sentence in response to the request for the replacement sentence.
    Type: Grant
    Filed: December 14, 2022
    Date of Patent: April 23, 2024
    Assignee: Intuit Inc.
    Inventors: Manav Kohli, Cynthia Joann Osmon, Nicholas Roberts
  • Patent number: 11947570
    Abstract: A computer-implemented method for data augmentation is provided according an embodiment of the present disclosure. In the method, a first feature vector for input data may be obtained based on a first model. The input data may be clustered to a plurality of clusters. For each of the clusters, a second feature vector may be obtained based on the first model. Then, a similarity between the first feature vector and the second feature vector may be estimated for each of the clusters. At least one cluster of the plurality of clusters for which the similarity is lower than a threshold may be determined. Moreover, data augmentation may be performed to the at least one cluster.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: April 2, 2024
    Assignee: International Business Machines Corporation
    Inventors: Qing Wang, Shi Lei Zhang, Yonghua Lin
  • Patent number: 11947903
    Abstract: Various techniques for providing perspective annotation to numerical representations are disclosed herein. For example, a method includes detecting a numerical representation in an original content and retrieving one or more perspectives from a database based on the detected numerical representation. The one or more perspectives individually include a restatement of information contained in the numerical representation. The method can also include annotating the original content with the retrieved one or more perspectives to form an annotated content.
    Type: Grant
    Filed: October 22, 2018
    Date of Patent: April 2, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jake Hofman, Miroslav Dudik, Daniel Goldstein
  • Patent number: 11936673
    Abstract: A method and a system for detecting harmful content on a network are provided. The method comprises: receiving a URL; obtaining, from the URL, an HTML document associated therewith; converting the HTML document into a text; normalizing the text associated with the HTML document, thereby generating a plurality of tokens associated therewith; aggregating, each one of the plurality of tokens into a token vector associated with the HTML document; and applying, one or more classifiers to the token vector associated with the HTML document to determine a likelihood parameter indicative of the URL being associated with the harmful content; in response to the likelihood parameter being equal to or greater than a predetermined likelihood parameter threshold: identifying, the URL as being associated with the harmful content; and storing, the URL in a database of harmful URLs.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: March 19, 2024
    Assignee: GROUP IB, LTD
    Inventor: Nikolay Prudkovskiy
  • Patent number: 11900073
    Abstract: A computer-implemented method is programmed to support efficient and rapid generation of machine translation suggestions on client devices. Network latency is substantially reduced or eliminated by separating certain aspects of the translation workload across multiple classes of tasks, including final neural network output, between a client device and server device. The client device and server device may be connected such that a decoder portion of a machine translation system may be downloaded onto the client device, along with an initial translation suggestion and encoder outputs associated with a document, which document is in a source language to be translated into a target language. The initial translation suggestion may be replaced by an updated machine translation suggestion as a user inputs text in the target language called a prefix. This updated machine translation is generated on the client-side decoder using the previously-downloaded encoder outputs as input and the prefix as constraint.
    Type: Grant
    Filed: September 7, 2021
    Date of Patent: February 13, 2024
    Assignee: Lilt, Inc.
    Inventors: Geza Kovacs, John DeNero
  • Patent number: 11893348
    Abstract: Computer implemented methods and systems are provided for generating diverse key phrases while maintaining competitive output quality. A system for training a sequence to sequence (S2S) machine learning model is proposed where neural unlikelihood objective approaches are used at (1) a target token level to discourage the generation of repeating tokens, and (2) a copy token level to avoid copying repetitive tokens from the source text. K-step ahead token prediction approaches are also proposed as an additional mechanism to augment the approach to further enhance the overall diversity of key phrase outputs.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: February 6, 2024
    Assignee: ROYAL BANK OF CANADA
    Inventors: Hareesh Pallikara Bahuleyan, Layla El Asri
  • Patent number: 11886819
    Abstract: A classification code parser and method can include: reading a classification code having a description; reading a required keyword, and a total number of keywords associated with the classification code; reading text of a note; tokenizing the text of the note to create a note token stream, the note token stream having a note token and a position of the note token within the note token stream; creating a keyword map including a total number of matched keywords; determining a match ratio from the total number of the matched keywords and the total number of the keywords; determining a proximity factor based on a shortest span of tokens within the note token stream containing all the matched keywords; and determining a strength of a match between the classification code and the note based on the match ratio being multiplied by the proximity factor.
    Type: Grant
    Filed: February 8, 2023
    Date of Patent: January 30, 2024
    Assignee: IQVIA Inc.
    Inventors: Brian Berns, Kirk Junker
  • Patent number: 11886816
    Abstract: A method manages bot dialogue. A user input is converted to a phrase vector. A set of identified tokens are identified by a token identification engine from the phrase vector. An unsupervised token is selected from the set of identified tokens. A supervised token is selected from the set of identified tokens. A voted token selected from the unsupervised token and the supervised token. A next token is identified based on a set of recent tokens that includes the voted token. The next token is presented as one of a voice communication and an email communication.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: January 30, 2024
    Assignee: Prosper Funding LLC
    Inventor: Paul Golding
  • Patent number: 11880652
    Abstract: Techniques are disclosed for identifying hypocrisy in text. A computer system creates, from fragments of text, a syntactic tree that represents syntactic relationships between words in the fragments. The system identifies, in the syntactic tree, a first entity and a second entity. The system further determines that the first entity is opposite to the second entity. The system further determines a first sentiment score for a first fragment comprising the first entity and a second sentiment score for a second fragment comprising the second entity. The system, responsive to determining that the first sentiment score and the second sentiment score indicate opposite emotions, identifies the text as comprising hypocrisy and providing the text to an external device.
    Type: Grant
    Filed: January 6, 2023
    Date of Patent: January 23, 2024
    Assignee: Oracle International Corporation
    Inventor: Boris Galitsky
  • Patent number: 11880403
    Abstract: One example method includes, for each document in a group of annotated documents, extracting a set of words from the annotated document, and each of the words is positioned in a respective field of the annotated document. The method further includes using an aggregation function to determine, for one of the fields, a similarity of each one of the annotated documents to all of the other annotated documents, creating a document layout graph with nodes that each correspond to a respective annotated document, and each node is connected to all other nodes for which a similarity threshold for the one field has been met, and running an algorithm on the document layout graph to identify a clique of the annotated documents, and each annotated document in the clique has a similar layout to respective layouts of the other annotated documents in the clique.
    Type: Grant
    Filed: October 8, 2021
    Date of Patent: January 23, 2024
    Assignee: EMC IP HOLDING COMPANY LLC
    Inventors: Paulo Abelha Ferreira, Pablo Nascimento da Silva, RĂ´mulo Teixeira de Abreu Pinho, Vinicius Michel Gottin
  • Patent number: 11874860
    Abstract: The present invention may be a system for creating indexes for information retrieval comprises a processor and a memory. The memory has program instructions embodied therewith. The program instructions are executable by the processor to cause the system to read a document having hinting information into a memory, where the hinting information is associated with each unique expression in an original document. The program instructions are further executable to create the indexes from the document, where a first analysis method for generating a contiguous sequence of items from a text in the document is used for creating the indexes for each sequence in the unique expression with which the hinting information is associated and a second analysis method for dividing the text into meaningful units is used for creating the indexes for each word in the text other than the unique expression.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: January 16, 2024
    Assignee: International Business Machines Corporation
    Inventors: Hidekazu Fujiwara, Yoko Nameki, Soh Ohta
  • Patent number: 11868341
    Abstract: Identification of content gaps based on relative user-selection rates between multiple discrete content sources. A system analyzes search log activity to determine whether users that are conducting particular types of search activities are ultimately selecting and relying upon content resources from a predefined content source of interest or, alternatively, whether such users are unsatisfied with the predefined content source of interest and are instead relying upon other third-party content sources. This particular type of analysis provides valuable insights into whether content gaps exist within the predefined content source of interest.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: January 9, 2024
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Junia Anna George, Chetan Bansal, Nikitha Rao, Casey Jo Gossard, Dung Nguyen, David Boyd Ludwig, IV, Curtis Dean Anderson
  • Patent number: 11853287
    Abstract: A system and process for tagging electronic documents or other electronic content with concepts mentioned, contained, or otherwise described in that content. Once tagged, the content may be searchable, indexable, and retrievable in order to provide that content to an end user or another recipient. The system may be configured to handle a considerable number of asset files and a large number of users, workflows, and access applications simultaneously. The system may auto-tag the content and also may include a user interface for confirming and updating those tags and for manually creating new or additional tags. Content may include documents such as medical documents relating to procedures, diagnoses, medications or other domains. Alternatively, the content may include information about various care providers, in order to allow a user to locate a physician meeting one or more desired criteria.
    Type: Grant
    Filed: August 15, 2016
    Date of Patent: December 26, 2023
    Assignee: Intelligent Medical Objects, Inc.
    Inventors: Regis J P Charlot, Frank Naeymi-Rad, Alina E. Oganesova, Andre L. Young, Jr., Andrei Naeymi-Rad, Aziz M. Bodal, David O. Haines, Jose A. Maldonado, Masayo Kobashi, Stephanie J. Schaefer
  • Patent number: 11847425
    Abstract: A process receives, with a processor, audio corresponding to media content. Further, the process converts, with the processor, the audio to text. In addition, the process concatenates, with the processor, the text with one or more time codes. The process also parses, with the processor, the concatenated text into one or more text chunks according to one or more subtitle parameters. Further, the process automatically translates, with the processor, the parsed text from a first spoken language to a second spoken language. Moreover, the process determines, with the processor, if the language translation complies with the one or more subtitle parameters. Additionally, the process outputs, with the processor, the language translation to a display device for display of the one or more text chunks as one or more subtitles at one or more times corresponding to the one or more time codes.
    Type: Grant
    Filed: August 1, 2018
    Date of Patent: December 19, 2023
    Assignee: Disney Enterprises, Inc.
    Inventor: Erika Doggett
  • Patent number: 11842159
    Abstract: Techniques for interpreting a text classifier model are described. An exemplary method includes receiving a request to interpret the text classifier; receiving input text to be used to interpret the text classifier; interpreting the text classifier using the input text and masked input text to determine two or more of a counterfactual score for the received input text or an aspect thereof, an importance score for the received input text or an aspect thereof, and a bias score for the received input text or an aspect thereof as requested by the request, and providing the determined one or more scores is provided to a requester.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: December 12, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Sawan Kumar, Kalpit Dixit, Syed Kashif Hussain Shah
  • Patent number: 11842162
    Abstract: There is a need for more effective and efficient natural language processing (NLP) solutions. This need can be addressed by, for example, solutions for performing NLP-based document prioritization by utilizing joint sentiment-topic (JST) modeling.
    Type: Grant
    Filed: October 3, 2022
    Date of Patent: December 12, 2023
    Assignee: Optum Technology, Inc.
    Inventors: Ayan Sengupta, Suman Roy, Tanmoy Chakraborty, Gaurav Ranjan, William Scott Paka
  • Patent number: 11836344
    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: January 13, 2023
    Date of Patent: December 5, 2023
    Assignee: Capital One Services, LLC
    Inventors: Abdelkader M'Hamed Benkreira, Nimma Bhusri, Tyler Maiman
  • Patent number: 11837346
    Abstract: Provided is at least one processor, and the processor is configured to analyze an image to derive property information indicating a property of a structure of interest included in the image, generate a sentence related to the image based on the property information, analyze the sentence to specify a term representing the property related to the structure of interest included in the sentence, and collate the property information with the term.
    Type: Grant
    Filed: May 8, 2022
    Date of Patent: December 5, 2023
    Assignee: FUJIFILM Corporation
    Inventors: Keigo Nakamura, Yohei Momoki
  • Patent number: 11829716
    Abstract: The present invention may be a method, a computer system, and a computer program product for suggesting an output candidate. The method comprises receiving a user input; selecting a corpus containing an expression similar to the user input among a plurality of corpuses; finding, in the user input, a seed word that may be present in a definition statement of an entry in a dictionary; identifying, in the dictionary, an entry of a definition statement containing the seed word or within a threshold similarity to the seed word with reference to the selected corpus; and suggesting the identified entry as an output candidate.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: November 28, 2023
    Assignee: International Business Machines Corporation
    Inventors: Emiko Takeuchi, Yoshinori Kabeya, Daisuke Takuma
  • Patent number: 11829715
    Abstract: The present invention provides text-based news significance evaluation methods, apparatuses, and electronic devices for improving efficiency and accuracy of news significance evaluation, and implementing real-time dynamic evaluation on text news. The method comprises: reading text news; preprocessing the text news to obtain original data; extracting feature values from the original data, which comprises metadata, a keyword, and a probability model feature value; and obtaining a score of each feature value according to a weight ratio corresponding to each feature value. The apparatus comprises: a text news reading module, a text news preprocessing module, a feature value extraction module, a feature value weight determining module, and a text news significance evaluation module. The electronic device comprises a memory and a processor. The memory stores a computer program that can run on the processor.
    Type: Grant
    Filed: January 10, 2021
    Date of Patent: November 28, 2023
    Assignee: Business Management Advisory LLC
    Inventors: Qingquan Zhang, Wenxi Lu, He Chen, Ying Wu
  • Patent number: 11822868
    Abstract: Systems and methods are provided for providing a navigation interface to access or otherwise use electronic content items. In one embodiment, an augmentation application identifies at least one entity referenced in a document. The entity can be referenced in at least two portions of the document by at least two different words or phrases. The augmentation application associates the at least one entity with at least one multimedia asset. The augmentation application generates a layout including at least some content of the document referencing the at least one entity and the at least one multimedia asset associated with the at least one entity. The augmentation application renders the layout for display.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: November 21, 2023
    Assignee: ADOBE INC.
    Inventors: Emre Demiralp, Gavin Stuart Peter Miller, Walter W. Chang, Grayson Squier Lang, Daicho Ito
  • Patent number: 11816438
    Abstract: NLP techniques are disclosed that apply computer technology to sentence data for performing entity referencing. For example, a processor can parse sentence data in a defined window of sentence data into a list of entity terms and a plurality of classifications associated with the listed entity terms. A processor can also a plurality of context saliency scores for a plurality of the listed entity terms based on the classifications associated with the listed entity terms as well as maintain a list of referring terms corresponding to the listed entity terms. For new sentence data that includes a referring term from the referring term list, a processor can (i) select a corresponding entity term on the entity term list based on the context saliency scores for the entity terms, and (ii) infer that the referring term in the new sentence data refers to the selected corresponding entity term.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: November 14, 2023
    Assignee: Narrative Science Inc.
    Inventors: Michael Tien Thinh Pham, Nathan William Krapf, Stephen Emmanuel Hudson, Clayton Nicholas Norris
  • Patent number: 11816116
    Abstract: Various aspects of this disclosure provide digital data processing systems for using encrypted variant data objects to facilitate queries of sensitive data. In one example, a digital data processing system can receive sensitive data about an entity. The digital data processing system can create, in an identity data repository and from the sensitive data, a searchable secure entity data object for the entity. The searchable secure entity data object is usable for servicing a query regarding the entity. For instance, a transformed query parameter can be generated from a query parameter in the query. The query can be serviced by matching the transformed query parameter to tokenized variant data in the searchable secure entity data object and retrieving tokenized sensitive data from the searchable secure entity data object.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: November 14, 2023
    Assignee: Equifax, Inc.
    Inventors: Yuvaraj Sankaran, Vijay Nagarajan
  • Patent number: 11797530
    Abstract: A hierarchical embedding model is used to obtain respective language-agnostic embeddings of entity records of a cross-language data set. A plurality of record representation pairs is prepared based at least in part on the language-agnostic embeddings. A machine learning model is trained using the record representations pairs to generate similarity scores for pairs of entity records whose text attributes are expressed in different languages.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: October 24, 2023
    Assignee: Amazon Technologies, Inc.
    Inventor: Karim Bouyarmane
  • Patent number: 11797772
    Abstract: Speech processing techniques are disclosed that enable determining a text representation of named entities in captured audio data. Various implementations include determining the location of a carrier phrase in a word lattice representation of the captured audio data, where the carrier phrase provides an indication of a named entity. Additional or alternative implementations include matching a candidate named entity with the portion of the word lattice, and augmenting the word lattice with the matched candidate named entity.
    Type: Grant
    Filed: January 31, 2022
    Date of Patent: October 24, 2023
    Assignee: GOOGLE LLC
    Inventors: Leonid Velikovich, Petar Aleksic, Pedro Moreno
  • Patent number: 11797774
    Abstract: Systems, methods, and other techniques for extracting data from obituaries are provided. In some embodiments, an obituary containing a plurality of words is received. Using a machine learning model, an entity tag from a set of entity tags may be assigned to each of one or more words of the plurality of words. Each particular tag from the set of entity tags may include a relationship component and a category component. The relationship component may indicate a relationship between a particular word and the deceased individual. The category component may indicate a categorization of the particular word to a particular category from a set of categories. The extracted data may be stored in a genealogical database.
    Type: Grant
    Filed: December 6, 2022
    Date of Patent: October 24, 2023
    Assignee: Ancestry.com Operations Inc.
    Inventors: Carol Myrick Anderson, Gann Bierner, Philip Theodore Crone, Tyler Folkman
  • Patent number: 11768645
    Abstract: A print recording system, including: at least one print recording device; and a computer system that includes a database storing a plurality of print setting information items and is capable of sending and receiving data with respect to the print recording device. The computer system searches the print setting information corresponding to a search condition that is input from the database in accordance with the search condition, repeats the search in accordance with a new search condition when the print setting information does not match the search condition, and sends the print setting information obtained by the search or the repeated search to the print recording device to set the print recording device.
    Type: Grant
    Filed: February 20, 2020
    Date of Patent: September 26, 2023
    Assignee: HITACHI INDUSTRIAL EQUIPMENT SYSTEMS CO., LTD.
    Inventors: Huilin Chen, Takahiro Takahashi, Takashi Kawano
  • Patent number: 11748342
    Abstract: An apparatus comprising an interface and a natural language processor. The interface receives a data retrieval request formatted in a natural language and the natural language processor processes the data retrieval request. Processing the data retrieval request includes identifying database entities, database relations, or any combination thereof based words in the data retrieval request. It can also include identifying database entity criterion, database relation criterion, or any combination thereof based on words in the data retrieval request. It also includes generating a database query based on the database entities, the database relations, the database entity criterion, the database relation criterion, or any combination thereof and causing the database query to be applied to a database. Wherein, processing the data retrieval request includes grammatically tagging the data retrieval request using part-of-speech tagging techniques, e.g.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: September 5, 2023
    Assignee: Cloud Software Group, Inc.
    Inventor: Raphael Derbier
  • Patent number: 11734507
    Abstract: The present application relates to defining acronyms in messages between a sender device and a receiver device. The sender device receives a text content of a message from a user and parses the text content to identify one or more acronyms within the message. The sender device presents, to the user, a secondary task pane including the one or more acronyms present within the message and corresponding acronym definitions in editable text fields and receives, from the user, an update to one or more of the corresponding acronym definitions. The sender device sends the message and metadata including the corresponding acronym definitions to one or more other users. A receiver device receives the message and converts each of the acronyms to a respective hyperlink. The receiver device detects a user interaction with the respective hyperlink for a respective acronym and presents at least the respective first acronym definition.
    Type: Grant
    Filed: May 25, 2022
    Date of Patent: August 22, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Danielle Amanda Scott, Daniel Antonio Varela Serrano, Khushboo Gupta, Sonal Verma, Maiara Lange, Somya Upadhyay
  • Patent number: 11734510
    Abstract: Embodiments relate to a method, a computer program and a system for optimizing execution of natural language to structured query language. The method comprises the steps of—receiving a natural language text input and performing natural language processing on the natural language text input to generate a plurality of encoded question tokens. Next, the method comprises performing natural language processing on a plurality of table schema stored in a database to generate a plurality of encoded table schema tokens for each table schema. Further, the method comprises determining a similarity between the plurality of encoded question tokens and the plurality of encoded table schema tokens for at least two table schemas of the plurality of table schema. Furthermore, the method comprises determining an output table schema from the plurality of table schema based on the similarity and outputting a natural language string based on the output table schema.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: August 22, 2023
    Assignee: Bayerische Motoren Werke Aktiengesellschaft
    Inventors: Wangsu Hu, Jilei Tian
  • Patent number: 11734322
    Abstract: Aspects of the present disclosure provide techniques for intent matching. Embodiments include receiving input of text by a user via a user interface. Embodiments include determining weights for portions of the text based on a plurality of keywords. Embodiment include generating an embedding of the text. Embodiments include determining an intent of the text by weighting, based on the weights, word mover's distances from the embedding of the text to a known embedding of known text associated with the intent in order to determine a similarity measure between the text and the known text. Embodiments include providing content to the user via the user interface based on the intent.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: August 22, 2023
    Assignee: INTUIT, INC.
    Inventors: Gregory Kenneth Coulombe, Roger C. Meike, Cynthia Osmon, Sricharan Kallur Palli Kumar, Pavlo Malynin
  • Patent number: 11706176
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, to facilitate interception of messages that include offensive content. In one aspect, a method includes actions of receiving input on a user device that includes message content, determining, on the user device, whether the message content includes offensive content, and in response to determining, on the user device, that the message content includes offensive content, generating an alert message for display on the user device that provides an indication that the message includes offensive content.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: July 18, 2023
    Inventor: Trisha N. Prabhu
  • Patent number: 11694042
    Abstract: Presented herein are embodiments of an unsupervised cross-lingual sentiment classification model (which may be referred to as multi-view encoder-classifier (MVEC)) that leverages an unsupervised machine translation (UMT) system and a language discriminator. Unlike previous language model (LM)-based fine-tuning approaches that adjust parameters solely based on the classification error on training data, embodiments employ an encoder-decoder framework of an UMT as a regularization component on the shared network parameters. In one or more embodiments, the cross-lingual encoder of embodiments learns a shared representation, which is effective for both reconstructing input sentences of two languages and generating more representative views from the input for classification. Experiments on five language pairs verify that an MVEC embodiment significantly outperforms other models for 8/11 sentiment classification tasks.
    Type: Grant
    Filed: March 19, 2021
    Date of Patent: July 4, 2023
    Assignee: Baidu USA LLC
    Inventors: Hongliang Fei, Ping Li
  • Patent number: 11681877
    Abstract: An agent automation system implements a virtual agent that is capable of learning new words, or new meanings for known words, based on exchanges between the virtual agent and a user in order to customize the vocabulary of the virtual agent to the needs of the user or users. The agent automation framework has access to a corpus of previous exchanges between the virtual agent and the user, such as one or more chat logs. New words and/or new meanings for known words are identified within the corpus and new word vectors are generated for these new words and/or new meanings for known words and added to refine a word vector distribution model. The refined word vector distribution model is then utilized by the agent automation system to interact with the user.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: June 20, 2023
    Assignee: ServiceNow, Inc.
    Inventors: Edwin Sapugay, Anil Kumar Madamala, Maxim Naboka, Srinivas SatyaSai Sunkara, Lewis Savio Landry Santos, Murali B. Subbarao
  • Patent number: 11651001
    Abstract: A method is provided for analyzing and interpreting a dataset composed of electronic documents including free-form text. The method includes unifying terms of interest in the collection of terms of interest to identify variants of the terms of interest. This includes identifying candidate variants of a term of interest based on semantic similarity between the term of interest and other terms in the database, determined using an unsupervised machine learning algorithm. Linguistic features and contextual features of the term of interest and its candidate variants are extracted, at least the contextual features being extracted using the unsupervised machine learning algorithm. And a supervised machine learning algorithm is used with the linguistic features and contextual features to identify variants of the term of interest from the candidate variants, such as for application to generate features of the documents for data analytics performed thereon.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: May 16, 2023
    Assignee: THE BOEING COMPANY
    Inventors: Anne Kao, Nobal B. Niraula, Daniel I. Whyatt
  • Patent number: 11651773
    Abstract: The invention provides a content playback system comprising a playback device that is configured to detect a voice command from a user and to play content. When a voice command is received, the system is configured to analyse the voice command to determine a user intent. The system then extracts one or more entities from the voice command, wherein each of the extracted entities is of a type associated with the determined user intent. Then, based on the one or more extracted entities, the system controls the playback device. Analysis of the voice command in this manner may improve an accuracy with which a meaning of the voice command can be obtained, thereby facilitating control of the playback device.
    Type: Grant
    Filed: March 16, 2022
    Date of Patent: May 16, 2023
    Assignee: B&W GROUP LTD
    Inventor: Andrew Hedley Jones
  • Patent number: 11645462
    Abstract: Methods and systems for artificial intelligence (AI)-assisted document annotation and training of machine learning-based models for document data extraction are described. The methods and systems described herein take advantage of a continuous machine learning approach to create document processing pipelines that provide accurate and efficient data extraction from documents that include structured text, semi-structured text, unstructured text, or any combination thereof.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: May 9, 2023
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Jacob T. Wilson, Joseph D. Harrington, Vinston Sundara Pandiyan Sigamani, Abhishek Sanghavi, Jayakumar Pillai, Benjamin Cunningham, Lindsey P. Lewis
  • Patent number: 11645527
    Abstract: A system including a confidence assessment module that implements a neural network to assess the likelihood that codes associated with a patient's encounter with a healthcare organization are accurate. The confidence assessment module may also be incrementally trained.
    Type: Grant
    Filed: September 28, 2021
    Date of Patent: May 9, 2023
    Assignee: 3M Innovative Properties Company
    Inventor: Andrew C. Wetta
  • Patent number: 11640499
    Abstract: Embodiments of the present disclosure are directed to systems, methods, and computer product programs to identify one or more seminal cases within a database containing legal case data. The disclosed systems and methods provide an approach to identify one or more seminal cases for particular legal issues by mining a text database containing electronic legal documents for the reasons for citing and mining the text within to determine whether the legal issue addressed in the reasons for citing is directed to a seminal case. The data is created through data mining and obtained from the plurality the reasons for citing identifying the seminal cases for a particular legal issue such that the output data corresponding to the seminal cases causes an external device to distinguish the seminal cases when one or more of the seminal cases are returned as the result of a search.
    Type: Grant
    Filed: December 24, 2018
    Date of Patent: May 2, 2023
    Assignee: RELX INC.
    Inventors: Paul Zhang, Valentina Templar
  • Patent number: 11636443
    Abstract: A method for automatically converting note-to-self to action reminders in an electronic device is provided. The method includes receiving an input comprising at least one word from a user of the electronic device, analyzing an anaphora representation or a deictic representation for each of the at least one word, and generating a reminder based on a context from the anaphora representation or the deictic representation.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: April 25, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Lokendra Shastri, Rohini Nookala, Abhanshu Gupta, Kailash Atal, Rajat Tandon, Gladbin David C, Karishma Rajesh Sharma, Sohini Sengupta, Utkarsh Srivastava, Vidushi Chaudhary, Arun Yadav, Vaibhav, Pratik Vasa, Abhay Goel, Anshuka Rangi, Ashwani Kumar, Kapil Khatke, Nishu Bansal
  • Patent number: 11625545
    Abstract: Systems and methods for improved conversation translation are disclosed. The system receives a first portion of a conversation in a first language. The system translates the first portion of the conversation to a second language. The system generates a predicted second portion of the conversation. The first portion and the predicted second portion are sent to a second user device as a predictive translation. The system then receives an actual second portion of the conversation, translates it to the second language, and sends the first portion and the actual second portion to the second user device as a batch translation. The system compares the batch translation to the predictive translation to identity any differences and generates a color-coded translation highlighting any differences between the batch translation and the predictive translation. The system sends the color-coded translation to the second user device for display on the second user device.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: April 11, 2023
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Vincent Pham, Jeremy Edward Goodsitt, Austin Walters, Fardin Abdi Taghi Abad
  • Patent number: 11625538
    Abstract: This disclosure relates generally to methods and systems for automatic extraction of self-reported activities of an individual from a freestyle narrative text. Manual extraction of such self-reported activities of the individual from the freestyle narrative text over the period of time is a complex task and consume a significant amount of time. The present systems and methods utilize a predefined grammar pattern and a natural language processing technique to generate one or more candidate activity phrases, from the pre-processed input text posted by the individual. A deep learning based supervised classification model is utilized to automatically extract the one or more self-reported activities of the individual, from the one or more candidate activity phrases. Manual intervention and efforts of analyzing the freestyle narrative text to extract the self-reported activities are avoided. Longitudinal assessment of the self-reported activities may reveal routines and behavior of the individual.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: April 11, 2023
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Deepa Adiga, Maitry Bhavsar, Mayuri Duggirala, Sachin Patel
  • Patent number: 11620304
    Abstract: A method for transforming strings includes identifying one or more candidate example input strings from a database including a set of input strings. The candidate example input strings are presented for example transformation. For one or more of the candidate example input strings, an example output string corresponding to that example input string is received, where each example input string and its corresponding example output string define a transformation example in an example set. A string transformation program is generated based on transformation examples in the example set.
    Type: Grant
    Filed: October 20, 2016
    Date of Patent: April 4, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sumit Gulwani, Ranvijay Kumar, Chairy Chiu Ying Cheung, Daniel Adam Perelman, Euan Peter Garden, Giovanni M. Della-Libera
  • Patent number: 11599616
    Abstract: In some implementations, an authorization device generate a decision to reject an authorization request that includes a credential associated with a user based on one or more inconsistencies between entity information provided in the authorization request and authorized entity information associated with the credential. The authorization device may transmit, to a biometric-enabled device associated with the user, a message that causes the biometric-enabled device to display a prompt indicating the one or more inconsistencies between the entity information provided in the authorization request and the authorized entity information associated with the credential. In some implementations, the prompt may further enable the user to provide a biometric input to authorize the entity information provided in the authorization request.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: March 7, 2023
    Assignee: Capital One Services, LLC
    Inventors: Aditya Pai, Brice Elder, Julie Murakami, Allison Fenichel
  • Patent number: 11593434
    Abstract: The present disclosure provides a sentence recommendation method and apparatus based on associated points of interest. The method includes: obtaining an input sentence from a user; extracting a keyword in the input sentence, and searching for a current point of interest matching the keyword in a preset point of interest association network determining a plurality of associated points of interest matching the current point of interest according to the preset point of interest association network, and filtering out an extension point of interest from the plurality of associated points of interest according to a preset filter strategy; and retrieving a first reply sentence and a second reply sentence from a preset corpus according to the current point of interest and the extension point of interest, and providing them to the user.
    Type: Grant
    Filed: March 16, 2020
    Date of Patent: February 28, 2023
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Zhengyu Niu, Hua Wu, Haifeng Wang