Based On Phrase, Clause, Or Idiom Patents (Class 704/4)
  • Patent number: 12008325
    Abstract: A method for context-based natural language processing is disclosed herein. The method comprises maintaining a plurality of dialog system rules, receiving a user request from a Dialog System Interface, receiving one or more attributes associated with the user request from the Dialog System Interface or a user device, and identifying a type of context associated with the user request based on the user request and the one or more attributes. A context label is assigned to the user request associated with the type of context. Based on the context label and the user request, a particular dialog system rule is selected from the plurality of dialog system rules. A response to the user request is generated by applying the dialog system rule to at least a part of the user request.
    Type: Grant
    Filed: January 24, 2022
    Date of Patent: June 11, 2024
    Assignee: GOOGLE LLC
    Inventors: Ilya Gennadyevich Gelfenbeyn, Artem Goncharuk, Pavel Aleksandrovich Sirotin
  • Patent number: 11995409
    Abstract: Content generation leverages an unsupervised, generative pre-trained language model (e.g., a generative-AI). In this approach, a model derived by applying to given content relevant competitive content and one or more optimization targets is received. Based on optimization criteria encoded as embedding signals in the model, a determination is made regarding whether a template suitable for use as an input to the generative-AI exists in a set of templates. If so, the model embedding signals are merged into the template, or the template itself is transformed using the embedding signals, in either case creating a modified template. If, however, no template suitable as the input exists, the model and other information are input to a natural language processor to generate a generative-AI input. Either the modified template or the generative-AI input, as the case may be, is then applied through the generative-AI to generate an output competitively-optimized with respect to the optimization targets.
    Type: Grant
    Filed: August 23, 2022
    Date of Patent: May 28, 2024
    Assignee: INK Content, Inc.
    Inventor: Alexander De Ridder
  • Patent number: 11983638
    Abstract: A method for example-driven machine learning is disclosed herein. The method comprises maintaining a plurality of dialog system rules and a knowledge database including a plurality of intent objects and a plurality of entity objects. The plurality of intent objects and the plurality of entity objects are associated with at least one dialog system rule. An exemplary phrase is received and one or more linguistic elements are retrieved from the exemplary phrase. It is determined that at least one of the linguistic elements is directed to at least one of the plurality of intent objects of the plurality of entity objects and the at least one of the linguistic elements in association with the at least one dialog system rule is added to the knowledge database.
    Type: Grant
    Filed: October 12, 2021
    Date of Patent: May 14, 2024
    Assignee: GOOGLE LLC
    Inventors: Ilya Gennadyevich Gelfenbeyn, Artem Goncharuk, Pavel Aleksandrovich Sirotin
  • Patent number: 11985058
    Abstract: A communication broker service of a microservices platform may direct a distributed queue management service to monitor multiple data distribution outboxes of a plurality of microservices of the microservices platform for message data. The communication broker service may receive an indication from the distributed queue management service that the distributed queue management service has retrieved message data from a data distribution outbox of a first microservice. The communication broker service may apply a business logic to identify one or more second microservices that are configured to receive the message data from the first microservice. The communication broker server may then direct the distributed queue management service to distribute the message data of the first microservice from a data store of the distributed queue management service to one or more corresponding data distribution inboxes of the one or more second microservices.
    Type: Grant
    Filed: August 4, 2022
    Date of Patent: May 14, 2024
    Assignees: Getac Technology Corporation, WHP Workflow Solutions, Inc.
    Inventors: Muhammad Adeel, Thomas Guzik
  • Patent number: 11977839
    Abstract: A rule integration device includes determination means for converting, to natural language sentences, each of multiple management rules used by a management device for managing a management target, and determining whether or not the multiple management rules are combinable based on grammar relating to the converted natural language sentences; and combination means for generating a post-combination rule by combining the multiple management rules that have been determined to be combinable by the determination means.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: May 7, 2024
    Assignee: NEC CORPORATION
    Inventor: Toshimune Ebata
  • Patent number: 11972226
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate generating stable real-time textual translations in a target language of an input audio data stream that is recorded in a source language. An audio stream that is recorded in a first language is obtained. A partial transcription of the audio can be generated at each time interval in a plurality of successive time intervals. Each partial transcription can be translated into a second language that is different from the first language. Each translated partial transcription can be input to a model that determines whether a portion of an input translated partial transcription is stable. Based on the input translated partial transcription, the model identifies a portion of the translated partial transcription that is predicted to be stable. This stable portion of the translated partial transcription is provided for display on a user device.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: April 30, 2024
    Assignee: Google LLC
    Inventor: Dirk Ryan Padfield
  • Patent number: 11967312
    Abstract: This application provides a method for training a semantic understanding model, including: obtaining a first training sample set; performing denoising processing on the first training sample set to form a corresponding second training sample set; processing the second training sample set by using a semantic understanding model, to determine initial parameters of the semantic understanding model; processing the second training sample set by using the semantic understanding model in response to the initial parameters of the semantic understanding model, to determine update parameters of the semantic understanding model; and iteratively updating a semantic representation layer network parameter and a task-related output layer network parameter of the semantic understanding model by using the second training sample set and according to the update parameters of the semantic understanding model.
    Type: Grant
    Filed: October 15, 2021
    Date of Patent: April 23, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Gang Yuan, Xuemin Zhao
  • Patent number: 11954619
    Abstract: Apparatuses, systems, and methods described include receiving data related to an availability for a shift, automatically triggering initiation of a communications session related to the shift, conducting the communications session, and receiving and storing a plurality of audio or audio and visual signals from the communications session. Machine learning (ML) sentiment analysis is performed on data of the communications session and based on the sentiment analysis, a reliability score is determined.
    Type: Grant
    Filed: January 12, 2022
    Date of Patent: April 9, 2024
    Assignee: TRUEBLUE, INC.
    Inventors: Christopher A. Kapcar, Carlos A. Lara Maldonado, Robert Michael Ward, Jeffrey S Dirks
  • Patent number: 11947495
    Abstract: Disclosed herein are systems and method for providing a File System (FS) without redundancy for one or more services. In one aspect, an exemplary method comprises, mounting a base image of microservices to a directory, for each of the one or more services, union-mounting a service image on top of the base image, identifying all dependencies associated with the service image, and creating one or more sub-directories for each dependency associated with the service image, for each identified dependency, creating a link between the dependency and the union-mounted service image and base image, and creating, one or more micro-services.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: April 2, 2024
    Assignee: VIRTUOZZO INTERNATIONAL GMBH
    Inventors: Pavel Emelyanov, Alexey Kobets
  • Patent number: 11930055
    Abstract: The present invention relates to a method for generating and causing display of a communication interface that facilitates the sharing of emotions through the creation of 3D avatars, and more particularly with the creation of such interfaces for displaying 3D avatars for use with mobile devices, cloud based systems and the like.
    Type: Grant
    Filed: March 14, 2023
    Date of Patent: March 12, 2024
    Assignee: Snap Inc.
    Inventors: Jesse Chand, Jeremy Voss
  • Patent number: 11922121
    Abstract: The present disclosure provides a method and an apparatus for information extraction, an electronic device, and a storage medium. The method for information extraction includes: first obtaining text data, and then inputting the text data into an information extraction model obtained through pre-training to obtain triple information contained in the text data, wherein the triple information includes a subject, a predicate and an object in the text data. The information extraction model includes a binary classification sub-model and a multi-label classification sub-model, wherein the binary classification sub-model is configured to extract the subject in the text data, and the multi-label classification sub-model is configured to extract the predicate and the object corresponding to the subject in the text data according to the subject and the text data.
    Type: Grant
    Filed: January 13, 2021
    Date of Patent: March 5, 2024
    Assignee: BOE Technology Group Co., Ltd.
    Inventor: Bingqian Wang
  • Patent number: 11914627
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for disambiguating join paths for natural language queries. One of the methods includes, obtaining a natural language query from a user; parsing the natural language query into structured operations to be performed on APIs of a knowledge base, including: responsive to detecting a parsing ambiguity in which the natural language query can be parsed in two or more ways: providing, through a user interface, to the user one or more information items identifying the parsing ambiguity; responsive to a user interaction with an information item: modifying the parsing in accordance with the user interaction to generate one or more structured operations; performing the one or more structured operations on the structured APIs of the knowledge base to determine one or more search results; and providing one or more search results to the user.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: February 27, 2024
    Assignee: GOOGLE LLC
    Inventors: Armand Joseph Dijamco, Tolga Bozkaya
  • Patent number: 11907678
    Abstract: A machine translation system, a ChatOps system, a method for a context-aware language machine identification, and computer program product. One embodiment of the machine translation system may include a density calculator. The density calculator may be adapted to calculate a part of speech (POS) density for a plurality of word tokens in an input text, calculate a knowledge density for the plurality of word tokens, and calculate an information density for the plurality of word tokens using the POS density and the knowledge density. In some embodiments, the machine translation system may further comprise a sememe attacher and a context translator.
    Type: Grant
    Filed: November 10, 2020
    Date of Patent: February 20, 2024
    Assignee: International Business Machines Corporation
    Inventors: Fan Wang, Li Cao, Rui Wang, Lei Gao
  • Patent number: 11907672
    Abstract: Computer-readable media, systems and methods may improve classification of content based on a machine-learning natural language processing (ML-NLP) classifier. The system may train a general language model based on a general corpus, further train the general language model based on a domain-specific corpus to generate a domain-specific language model, and conduct supervised machine-learning based on the domain-specific language using topic-specific corpus labeled as relating to topics of interest to generate the ML-NLP classifier. Accordingly, the ML-NLP classifier may be trained on a general corpus, further trained on a domain-specific corpus, and fine-tuned on a topic-specific corpus. In this manner, domain-specific content may be classified into topics of interest. The ML-NLP classifier may classify content into the topics of interest.
    Type: Grant
    Filed: June 4, 2020
    Date of Patent: February 20, 2024
    Assignee: REFINITIV US ORGANIZATION LLC
    Inventors: Tim Nugent, Matt Harding, Jochen Lothar Leidner
  • Patent number: 11886800
    Abstract: A method includes detecting, in a written electronic communication, an input sentence satisfying a readability metric threshold, and processing, by a sentence transformer model responsive to the input sentence satisfying the readability metric threshold, the input sentence to output a suggested set of sentences. The method further includes evaluating the first suggested set of sentences along a set of acceptability criteria, and determining, based on the evaluating, that the set of acceptability criteria is satisfied. The method further includes modifying, based on determining that the set of acceptability criteria is satisfied, the written electronic communication with the suggested set of sentences to obtain a modified written electronic communication, and storing the modified written electronic communication.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: January 30, 2024
    Assignee: INTUIT INC.
    Inventors: Jing Wang, John Matthew Mastin, Jr., Sowmyanka Andalam, Piyasa Molly Paul, Dallas Leigh Taylor, Andres Castro
  • Patent number: 11880653
    Abstract: A user requests explanation of a term. In response, a definition is provided. The user can indicate that the user does not understand a new term included in the definition. In response, explanation information is customized based on analysis of the initial term and the new term, and then the explanation information is provided to the user.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: January 23, 2024
    Assignee: International Business Machines Corporation
    Inventors: Ya Niu, Nan Nan Li, Zu Rui Li, Li ping Wang, Di Hu, Qin Yue Chen
  • Patent number: 11875133
    Abstract: Systems and methods are described for providing subtitles for a media content item. Subtitles are obtained, using control circuitry, for the media content item. Control circuitry determines whether a character component of the subtitles should be replaced by an image component. In response to determining that the character component of the subtitles should be replaced by an image component, control circuitry selects, from memory, an image component corresponding to the character component. Control circuitry replaces the character component of the subtitles by the image component to generate modified subtitles.
    Type: Grant
    Filed: February 2, 2021
    Date of Patent: January 16, 2024
    Assignee: Rovi Guides, Inc.
    Inventors: Ankur Anil Aher, Charishma Chundi
  • Patent number: 11875132
    Abstract: An example operation may include one or more of transferring a copy of a plurality of revised translation data sets to be added to an IVR application into a grid structure, each revised translation data set comprising a prompt name in a first field, an IVR prompt in a second field, a translation of the IVR prompt into a different language in a third field, and a timestamp in a fourth field, executing, via a processor, an accuracy validation on the plurality of revised translation data sets, wherein, for each revised translation data set, the processor identifies whether a respective translation in a different language in a third field is an accurate translation of a respective IVR prompt in a second field based on attributes of the respective translation and the respective IVR prompt, and displaying results of the accuracy validation via a user interface.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: January 16, 2024
    Assignee: Intrado Corporation
    Inventors: Terry Olson, Mark L. Sempek, Roger Wehrle
  • Patent number: 11847416
    Abstract: Methods and systems for converting an input content item into an output content item to enhance comprehension of the message by an interlocutor, based on contexts. For example, the conversion may occur in any message service: when an interlocutor writes a message in English (or any other language), he or she might include a regional dialect (purposively or not), such as a piece of slang, that the other interlocutors may not understand, although they all generally write and understand English. In such circumstances, the regional dialect is identified and replaced with either a more globalized word or with another linguistic regionalism that is understandable for the intended interlocutor.
    Type: Grant
    Filed: December 1, 2020
    Date of Patent: December 19, 2023
    Assignee: Rovi Guides, Inc.
    Inventors: Lakhan Tanaji Kadam, Srishti Sharma
  • Patent number: 11842148
    Abstract: The present disclosure discloses a method for training a reading comprehension model, and relates to a field of natural language processing and deep learning technologies. The detailed implementing solution includes: respectively inputting a first training sample of the reference field into a reference reading comprehension model of a reference field and a target reading comprehension model of a target field, to obtain first output data output by the reference reading comprehension model and second output data output by the target reading comprehension model; and performing a first training process on the target reading comprehension model based on a difference between the first output data and the second output data.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: December 12, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventor: Kai Liu
  • Patent number: 11822874
    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for replacing text in a message thread. The program and method provide for receiving an indication of user input provided by a first user, the user input comprising a text-based term for updating a message thread between the first user and a second user; determining that the text-based term is included within a set of predefined terms, each predefined term within the set of predefined terms having corresponding replacement content for including in the message thread, the replacement content having been specified by the first or second user with respect to messages exchanged between the first and second user; and providing, in response to the determining and based on the set of predefined terms, the replacement content corresponding to the text-based term within the message thread.
    Type: Grant
    Filed: August 30, 2021
    Date of Patent: November 21, 2023
    Assignee: Snap Inc.
    Inventors: Jeremy Voss, Christie Marie Heikkinen, Daniel Rakhamimov, Laurent Desserrey, Susan Marie Territo, Edward Koai
  • Patent number: 11822909
    Abstract: Implementations are described herein for adapting existing source code snippets to new contexts. In various implementations, a command may be detected to incorporate an existing source code snippet into destination source code. An embedding may be generated based on the existing source code snippet, e.g., by processing the existing source code snippet using an encoder. The destination source code may be processed to identify one or more decoder constraints. Subject to the one or more decoder constraints, the embedding may be processed using a decoder to generate a new version of the existing source code snippet that is adapted to the destination source code.
    Type: Grant
    Filed: September 1, 2022
    Date of Patent: November 21, 2023
    Assignee: GOOGLE LLC
    Inventors: Qianyu Zhang, Bin Ni, Rishabh Singh, Olivia Hatalsky
  • Patent number: 11797781
    Abstract: A multi-layer language translator operating in conjunction with a syntax-based model, coupled with machine learning and artificial intelligence, performs language translations from a source language text to text expressed in a target language. A relevancy-based “chunking” module breaks a source text into smaller units and applies a part-of-speech tag to some or all of the units. A hierarchy-based structuring module determines grammatical structure of the source text based, at least in part, on the applied part-of-speech tags. The hierarchy-based structuring module recursively combines grammatically linked units into one or more phrases, and applies to the phrases higher-level tags. A syntax-based translating module translates the units and/or phrases into the target language, and based on syntax differences between the source and target languages, reconfigures the translated text, as needed, such that the translated text is expressed in the target language using target language syntax rules and conventions.
    Type: Grant
    Filed: August 6, 2020
    Date of Patent: October 24, 2023
    Assignee: International Business Machines Corporation
    Inventors: Fan Wang, Li Cao, Enrico James Monteleone
  • Patent number: 11790186
    Abstract: Proposed are a machine translation apparatus and a machine translation method for displaying a translation result through a user interface. The machine translation method may include: display an initial machine translation result for a first translation target sentence; correcting the initial machine translation result according to a manipulation result of a user on the user interface unit, and displaying the corrected machine translation result; and analyzing a difference between the corrected machine translation result and the initial machine translation result, and reflecting the analysis result to perform machine translation on a second translation target sentence. The machine translation apparatus and the method can be used to efficiently acquire a high-quality translation within a short time while minimizing time, cost and effort of a user, which used to be required for a conventional machine translation process.
    Type: Grant
    Filed: March 24, 2021
    Date of Patent: October 17, 2023
    Assignee: XL8 Inc
    Inventors: Kang Kim, Jin Hyung Park, Young Hoon Jung
  • Patent number: 11783817
    Abstract: A processor may identify an anomaly in one or more communications. A processor may monitor the one or more communications for an utterance. A processor may perform natural language processing (NLP) on the utterance. A processor may generate an understanding of the utterance using natural language understanding (NLU). A processor may detect the anomaly from the understanding of the utterance. A processor may execute a response, responsive to detecting the anomaly.
    Type: Grant
    Filed: May 28, 2021
    Date of Patent: October 10, 2023
    Assignee: International Business Machines Corporation
    Inventors: Gregory M. J. H. Tkaczyk, Edward Graham Katz, John S Quimby
  • Patent number: 11769007
    Abstract: An approach for generating synthetic treebanks to be used in training a parser in a production system is provided. A processor receives a request to generate one or more synthetic treebanks from a production system, wherein the request indicates a language for the one or more synthetic treebanks. A processor retrieves at least one corpus of text in which the requested language is present. A processor provides the at least one corpus to a transformer enhanced parser neural network model. A processor generates at least one synthetic treebank associated with a string of text from the at least one corpus of text in which the requested language is present. A processor sends the at least one synthetic treebank to the production system, wherein the production system trains a parser utilized by the production system with the at least one synthetic treebank.
    Type: Grant
    Filed: May 27, 2021
    Date of Patent: September 26, 2023
    Assignee: International Business Machines Corporation
    Inventors: Yousef El-Kurdi, Radu Florian, Hiroshi Kanayama, Efsun Kayi, Laura Chiticariu, Takuya Ohko, Robert Todd Ward
  • Patent number: 11762628
    Abstract: Electronic device includes display, microphone, and processor configured to activate voice input function based on user input, display graphic representation for indicating that the voice input function is activated, provide, on the display, a text display area for displaying text inputted by a plurality of user input methods and a keyboard input interface for receiving a user keyboard input, the plurality of user input methods including user keyboard input method and user voice input method, receive, via the keyboard input interface, the user keyboard input corresponding to a first text, display the first text in the text display area based on receiving the user keyboard input, receive user voice input corresponding to a second text while the keyboard input interface is provided and the voice input function is activated, and display the second text next to the first text in the text display area based on the user voice input.
    Type: Grant
    Filed: November 12, 2021
    Date of Patent: September 19, 2023
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Pawel Tracz, Szymon Leski
  • Patent number: 11765269
    Abstract: A method for incorporating an augmented voice communication into a communication routing configuration of a contact center system according to an embodiment includes selecting a vocal avatar, wherein the vocal avatar includes phonetic characteristics having first values, receiving a text communication and input user parameters from an input user, generating the augmented voice communication based on the text communication and the input user parameters, wherein the augmented voice communication includes phonetic characteristics having second values, wherein the first values of the phonetic characteristics of the vocal avatar are different from the second values of the phonetic characteristics of the augmented voice communication, and incorporating the augmented voice communication into the communication routing configuration of the contact center system.
    Type: Grant
    Filed: December 8, 2021
    Date of Patent: September 19, 2023
    Assignee: Genesys Cloud Services, Inc.
    Inventors: Leonid Vymenets, Alexandria L. Hockeborn, Yong Guan, Praphul Kumar, Jason Chhaidan
  • Patent number: 11755838
    Abstract: A computing machine receives an input comprising unstructured text. The computing machine identifies, within the unstructured text, one or more entities using a named entity recognition (NER) engine in a trained machine learning model. The trained machine learning model embeds tokens from the text into a vector space and uses generated embeddings to identify one or more tokens as being associated with the one or more entities. The computing machine determines, using the trained machine learning model that identifies the one or more entities and based on the embedded tokens, an assertion applied, within the text, to at least one entity. The assertion is represented as a vector in a multi-dimensional space. Each dimension corresponds to a part of the assertion. The trained machine learning model is a span-level model that both identifies the one or more entities and determines the assertion based on candidate spans of tokens.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: September 12, 2023
    Assignee: Smart Information Flow Technologies, LLC
    Inventors: Ian H. Magnusson, Scott Ehrlich Friedman, Sonja M. Schmer-Galunder
  • Patent number: 11750543
    Abstract: A computer-implemented method for providing an input suggestion for a user is disclosed. The computer-implemented method may include identifying an intended recipient of an electronic message input by the user; identifying a location associated with the user and a time associated with the electronic message input by the user; determining the input suggestion for the user based on an input profile of the intended recipient, the location, and the time; and outputting the input suggestion via a user device associated with the user.
    Type: Grant
    Filed: June 8, 2021
    Date of Patent: September 5, 2023
    Assignee: RingCentral, Inc.
    Inventors: Ilya Vladimirovich Mikhailov, Vlad Vendrow
  • Patent number: 11741317
    Abstract: The disclosure relates to system and method for processing multilingual user inputs using a Single Natural Language Processing (SNLP) model. The method includes receiving a user input in a source language and translating the user input to generate a plurality of translated user inputs in an intermediate language. The method includes using the SNLP model configured only using the intermediate language to generate a plurality of sets of intermediate input vectors in the intermediate language. The method includes processing the plurality of sets of intermediate input vectors in the intermediate language using at least one of a plurality of predefined mechanisms to identify a predetermined response. The method includes translating the predetermined response to generate a translated response that is rendered to the user.
    Type: Grant
    Filed: May 25, 2021
    Date of Patent: August 29, 2023
    Inventor: Rajiv Trehan
  • Patent number: 11734517
    Abstract: Techniques for determining a degree to which a document can be generated using a natural language generation (NLG) system, the NLG system being configured to generate natural language text. The techniques include using at least one computer hardware processor to perform: obtaining a document including text segments; determining a degree to which at least some of the text segments can be generated using the NLG system; generating a report indicating the degree to which the at least some of the text segments can be generated using the NLG system; and outputting the report.
    Type: Grant
    Filed: February 28, 2022
    Date of Patent: August 22, 2023
    Assignee: YSEOP SA
    Inventors: Hanna Abi-Akl, Hugues Sézille de Mazancourt, Dominique Mariko, Valentin Pierart
  • Patent number: 11693374
    Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.
    Type: Grant
    Filed: May 28, 2020
    Date of Patent: July 4, 2023
    Assignee: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
    Inventors: Surajit Borah, Santle Camilus, ZhongYi Jin, Vish Ramamurti, Young M. Lee
  • Patent number: 11688294
    Abstract: Systems and methods for an enhanced ultrasound biofeedback therapy for an improved speech remediation treatment for an individual include transmitting a plurality of ultrasound (US) waves toward a tongue of the individual; receiving a plurality of reflected US waves; converting the plurality of reflected US waves into a plurality of US signals to transmit to an ultrasound machine; and generating one or more enhanced images of the tongue at least partially based on the US signals in real-time, the enhanced images including identified Regions of Interest (ROIs) along tongue sub-parts comprising the tongue root, the tongue dorsum, and the tongue blade and respective ROI points identified therein. An interactive visual story is generated and updated in real-time with a tongue-mapping trajectory of the individual on a display based on the enhanced one or more images to determine a successful or unsuccessful sound production.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: June 27, 2023
    Assignee: UNIVERSITY OF CINCINNATI
    Inventors: Suzanne Boyce, Sarah Hamilton Dugan, T. Douglas Mast, Michael Riley
  • Patent number: 11681878
    Abstract: A method includes receiving a dataset that includes a plurality of input texts. Each input text from the plurality of texts is associated with a content category from a plurality of content categories based on a comparison between that input text and an intended meaning that is common for each comparison. For each model in a plurality of models, and for each content category from the plurality of content categories, that model is executed on each input text from the plurality of input texts to generate an average similarity/dissimilarity score for that content category. At least one model from the plurality of models is selected, based on the average similarity score for each content category from the plurality of content categories for each model in the plurality of models, to determine whether an input text is similar/dissimilar to the intended meaning.
    Type: Grant
    Filed: November 8, 2022
    Date of Patent: June 20, 2023
    Assignee: Ernst & Young U.S. LLP
    Inventors: Adam Polak, Ryan David Gleeson
  • Patent number: 11669424
    Abstract: Embodiments are disclosed for automated evaluation of compatibility of a data structure with a user device. An example method includes receiving, by communications circuitry, a set of user device characteristics regarding the user device, and retrieving, by the personalization circuitry, a set of data structure characteristics regarding the data structure. The example method further includes calculating, by the personalization circuitry, a set of characteristic-level compatibility scores, and generating, by the personalization circuitry and based on the set of characteristic-level compatibility scores, a compatibility score for the data structure and the user device. Subsequently, the example method includes generating, by an aggregator and using the generated compatibility score, an indication of relative compatibility of the data structure for the user device, and causing transmission, by communications circuitry, of a control signal to the user device based on the indication of relative compatibility.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: June 6, 2023
    Assignee: GROUPON, INC.
    Inventors: Raju Balakrishnan, Vinay K. Deolalikar, Matthew M. Heitz
  • Patent number: 11657797
    Abstract: Techniques are described for invoking and switching between chatbots of a chatbot system. In some embodiments, the chatbot system is capable of routing an utterance received while a user is already interacting with a first chatbot in the chatbot system. For instance, the chatbot system may identify a second chatbot based on determining that (i) such an utterance is an invalid input to the first chatbot or (ii) that the first chatbot is attempting to route the utterance to a destination associated with the first chatbot. Identifying the second chatbot can involve computing, using a predictive model, separate confidence scores for the first chatbot and the second chatbot, and then determining that a confidence score for the second chatbot satisfies one or more confidence score thresholds. The utterance is then routed to the second chatbot based on the identifying of the second chatbot.
    Type: Grant
    Filed: April 23, 2020
    Date of Patent: May 23, 2023
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Vishal Vishnoi, Xin Xu, Srinivasa Phani Kumar Gadde, Fen Wang, Muruganantham Chinnananchi, Manish Parekh, Stephen Andrew McRitchie, Jae Min John, Crystal C. Pan, Gautam Singaraju, Saba Amsalu Teserra
  • Patent number: 11657277
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing sequence modeling tasks using insertions. One of the methods includes receiving a system input that includes one or more source elements from a source sequence and zero or more target elements from a target sequence, wherein each source element is selected from a vocabulary of source elements and wherein each target element is selected from a vocabulary of target elements; generating a partial concatenated sequence that includes the one or more source elements from the source sequence and the zero or more target elements from the target sequence, wherein the source and target elements arranged in the partial concatenated sequence according to a combined order; and generating a final concatenated sequence that includes a finalized source sequence and a finalized target sequence, wherein the finalized target sequence includes one or more target elements.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: May 23, 2023
    Assignee: Google LLC
    Inventors: William Chan, Mitchell Thomas Stern, Nikita Kitaev, Kelvin Gu, Jakob D. Uszkoreit
  • Patent number: 11657231
    Abstract: The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: May 23, 2023
    Assignee: Qualtrics, LLC
    Inventor: John Hewitt
  • Patent number: 11651239
    Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: May 16, 2023
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Sean York, Tim Stewart, David Strong, Scott Hellman, William Murray
  • Patent number: 11645447
    Abstract: A computer-implemented method of encoding a word for use in a method of text analysis comprises receiving input text to be analysed, the input text comprising a first word which is not represented in a vocabulary set stored on a storage. The vocabulary set comprises a plurality of words and an associated word embedding vector for each word in the set. The method comprises identifying the first word as a word which is not represented in the vocabulary set and determining one or more sub-words within the first word with which to encode the first word. Each of the one or more sub-words corresponds with a word represented in the vocabulary set and having an embedding vector in the vocabulary set. The method comprises determining an encoding for the first word based on the one or more sub-words.
    Type: Grant
    Filed: April 13, 2020
    Date of Patent: May 9, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Halid Yerebakan, Yoshihisa Shinagawa
  • Patent number: 11646984
    Abstract: A system includes a memory and at least one processor to receive text from a client computing device, the text received one character at a time, as each character of the text is received, determine a recommendation in real-time to be added to the text based on at least one of a list of rules, word embedding, an n-gram model, and a co-occurrence model, the recommendation comprising at least one of a word, a list of hashtags, a quotation, and a list of emojis, and send the recommendation to the client computing device.
    Type: Grant
    Filed: July 29, 2021
    Date of Patent: May 9, 2023
    Assignee: Woofy, Inc.
    Inventor: Arjun Rai
  • Patent number: 11645036
    Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as recognition and determination, of the human brain using a machine learning algorithm such as deep learning and an application thereof. A method of providing feedback information in response to a user input including determining a user's intention, determining a variation in a number of candidates for an operation to be determined to correspond to the intention based on information input by the user, generating feedback information based on the determined variation, and providing the generated feedback information to the user is provided.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: May 9, 2023
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Seohyun Back, Seunghak Yu, Huiwon Yun, Hojin Jung
  • Patent number: 11615422
    Abstract: A user may respond to a request of another user by entering text, such as a customer service representative responding to a customer. As the user enters text, a suggested completion of the text may be suggested to the user so that the user may select the suggested completion instead of continuing to enter text. Previous messages between the two users and other information may be used to determine an appropriate suggested completion to the entered text. A neural network language model and a search graph may be used to select a suggested completion from a search graph of possible suggested completions.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: March 28, 2023
    Assignee: ASAPP, INC.
    Inventors: Gustavo Sapoznik, Shawn Henry
  • Patent number: 11610136
    Abstract: A method, computer system, and a computer program product for estimating the probability of invoking information technology (IT) disaster recovery at a location based on an incident risk is provided. The present invention may include receiving a piece of data associated with an incident at the location. The present invention may also include estimating a similarity value associated with the incident based on a plurality of past incidents from a knowledge base. The present invention may then include receiving a plurality of mined data based on the location. The present invention may further include predicting the incident risk to the location based on the received plurality of mined data and the estimated similarity value to the plurality of past incidents.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: March 21, 2023
    Assignee: Kyndryl, Inc.
    Inventors: Pawel Jasionowski, George E. Stark, Daniel S. Riley, Michael H. Roehl
  • Patent number: 11593561
    Abstract: A phrase that includes a trigger word that modifies a meaning within the phrase is received. The trigger word is identified. The words of the phrase that are modified by the trigger word are identified by analyzing features of the phrase that link the trigger word to other words. The phrase is interpreted by modifying the second subset of words according to the modification of the trigger word.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: February 28, 2023
    Assignee: International Business Machines Corporation
    Inventors: David Contreras, Krishna Mahajan, Roberto Delima, Kandhan Sekar, Corville O. Allen, Chris Mwarabu
  • Patent number: 11593433
    Abstract: System and method to analyze and predict impact of textual data are provided. The system also includes a processing subsystem configured to select textual data from a plurality of data sets stored in a memory, to extract data from external sources using crawling, to identify at least one context of the textual data using one or more identification methods. The processing subsystem includes an NLP module configured to match the textual data with NLP frameworks using a mapping method based on a plurality of parameters, to apply feature engineering and transformation on the textual data to extract a plurality of features from the plurality of data sets and to analyze matched textual data of the textual using at least one analysis method. The processing subsystem also includes a predictive module configured to predict one or more future values of the analyzed textual data using the one or more predictive methods.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: February 28, 2023
    Inventors: Senthil Nathan Rajendran, Selvarajan Kandasamy, Tejas Gowda BK, Mitali Sodhi
  • Patent number: 11586814
    Abstract: A paraphrase sentence generation method and apparatus relating to the research field of natural language processing include generating m second sentences based on a first sentence and a paraphrase generation model, determining a matching degree between each of the m second sentences and the first sentence based on a paraphrase matching model, and determining n second sentences from the m second sentences based on matching degrees among the m second sentences and the first sentence, where the paraphrase generation model is obtained through reinforcement learning-based training based on a reward of the paraphrase matching model.
    Type: Grant
    Filed: April 23, 2020
    Date of Patent: February 21, 2023
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Xin Jiang, Lifeng Shang, Hang Li, Zichao Li
  • Patent number: 11580188
    Abstract: The present invention may be a method, a system, and/or a computer program product. An embodiment of the present invention provides a method for paraphrasing, on a client computer, text in a webpage, the method comprising the following: transferring a request for a webpage including a plurality of passages of text to a server; receiving the webpage from the server in response to the request; judging whether or not the received webpage has text which is a subject of paraphrase; in a case where the judgment is positive, paraphrasing the text; and displaying, on a display, the webpage including the paraphrased text. Another embodiment of the present invention provides a method for updating on a server, text in a webpage, the method comprising the following: receiving, from each of the devices, a set of URLs of a webpage, a location path of text which is a subject of paraphrase in the webpage, and paraphrased text; and replacing text in the webpage with text among the received text.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: February 14, 2023
    Assignee: International Business Machines Corporation
    Inventors: Kentaroh Noji, Akihiko Takajo, Yukiko Yasuda
  • Patent number: 11579826
    Abstract: A non-transitory computer-readable recording medium stores instructions executable by a controller of an information processing apparatus. The instructions cause the controller to perform operations. The operations include: displaying an edit screen, the edit screen being configured to receive a translation instruction, the edit screen including a text area and a print area, the print area being configured to place therein a target text string to be printed; upon receiving on the edit screen an operation for inputting the target text string, displaying the target text string in a first language in the text area; upon receiving on the edit screen the translation instruction for translating the target text string displayed in the text area from the first language into a second language, translating the target text string to obtain a translation data piece representing a translated text string in the second language.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: February 14, 2023
    Assignee: Brother Kogyo Kabushiki Kaisha
    Inventors: Ryoji Ban, Ryo Yasui, Satoki Nagao