Patents Examined by Daniel Abebe
  • Patent number: 10650808
    Abstract: Systems and methods for providing a dynamically configurable interface for structured note dictation input for one or more electronic health record (EHR) systems generally comprise a dictation user interface, a dictation management subsystem, and at least one EHR system having a plurality of electronic medical records. The dictation management subsystem generally comprises a computing device configured to moderate the recognized text for a particular EHR system and particular electronic health record.
    Type: Grant
    Filed: February 13, 2018
    Date of Patent: May 12, 2020
    Assignee: Noteswift, Inc.
    Inventors: Timothy Platt, Allan Stratton
  • Patent number: 10650098
    Abstract: Improved techniques for proactive identification of errors are provided. Documents are analyzed, using natural language processing (NLP) models, to identify entities in the documents. The documents are processed with the NLP models to identify relationships among the entities, and each of the entities is stored in a data store, where the data store further includes an indication of the identified relationships among the entities. A draft correspondence is received, and it is determined that the draft correspondence includes a first entity and a second entity, where the first entity and the second entity have a first relationship. Upon determining that the first relationship conflicts with at least one of the relationships stored in the data store, a suggested revision for the draft correspondence is generated.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: May 12, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kevin M. O'Connell, Brenda Berg, Alex Matos, Janet Cederholm
  • Patent number: 10650191
    Abstract: A method of analyzing text is performed at an electronic system that includes one or more processors and memory storing instructions for execution by the one or more processors. The method includes extracting terms from a corpus of text and generating a plurality of rankings of the extracted terms. Each ranking of the plurality of rankings is based on a respective metric of a plurality of metrics. The method further includes defining a set of terms, which includes selecting a number of top-ranked terms from each ranking of the plurality of rankings. The set of terms may be provided for display and/or used as search terms to perform a search.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: May 12, 2020
    Assignee: Elementary IP LLC
    Inventors: Sumeet Sandhu, Tami Lee
  • Patent number: 10643636
    Abstract: There is provided an information processing apparatus capable of enhancing the possibility of outputting information with granularity desired by a user, the information processing apparatus including: a generation unit configured to generate second text data on a basis of first text data and information regarding a first user's auditory characteristics; and an output unit configured to output output information regarding the second text data. The generation unit controls granularity of the second text data on a basis of the information regarding the first user's auditory characteristics.
    Type: Grant
    Filed: May 23, 2016
    Date of Patent: May 5, 2020
    Inventors: Yuhei Taki, Yoko Ito, Shinichi Kawano
  • Patent number: 10643032
    Abstract: An output sentence generation apparatus for automatically generating one output sentence from a plurality of input keywords includes a candidate sentence generator incorporating a learned neural network configured to take in the plurality of keywords and generate a plurality of candidate sentences each including at least some of the plurality of keywords, and an evaluation outputter configured to calculate an overlap ratio for each of the plurality of candidate sentences generated by the candidate sentence generator and increase an evaluation of the candidate sentence with a small overlap ratio to thereby determine an output sentence from the plurality of candidate sentences. The overlap ratio is the number of occurrences of an overlapping word with respect to the number of occurrences of all words included in the corresponding candidate sentence.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: May 5, 2020
    Assignees: TOYOTA JIDOSHA KABUSHIKI KAISHA, Tokyo Metropolitan University
    Inventors: Mamoru Komachi, Shin Kanouchi, Tomoya Ogata, Tomoya Takatani
  • Patent number: 10635862
    Abstract: A method of facilitating natural language interactions, a method of simplifying an expression, a system for facilitating natural language interactions, and a system for simplifying an expression. The method of facilitating natural language interactions includes the steps of: processing a corpus to select a natural language expression from the corpus; simplifying the selected natural language expression into a plurality of simplified expression portions; wherein the plurality of simplified expression portions is representative of the meaning of the selected natural language expression; and presenting the plurality of simplified expression portions to a user so as to receive a user expression from the user for comparison with the selected natural language expression.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: April 28, 2020
    Assignee: City University of Hong Kong
    Inventor: John Sie Yuen Lee
  • Patent number: 10628469
    Abstract: A method for information processing includes collecting input information, obtaining feedback information in response to the input information, and outputting the feedback information. The feedback information contains query sub-information.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: April 21, 2020
    Assignee: LENOVO (BEIJING) CO., LTD.
    Inventor: Jianqiang Lu
  • Patent number: 10622005
    Abstract: A method and device for automatically increasing the spectral bandwidth of an audio signal including generating a “mapping” (or “prediction”) matrix based on the analysis of a reference wideband signal and a reference narrowband signal, the mapping matrix being a transformation matrix to predict high frequency energy from a low frequency energy envelope, generating an energy envelope analysis of an input narrowband audio signal, generating a resynthesized noise signal by processing a random noise signal with the mapping matrix and the envelope analysis, high-pass filtering the resynthesized noise signal, and summing the high-pass filtered resynthesized noise signal with the input narrowband audio signal. Other embodiments are disclosed.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: April 14, 2020
    Assignee: Staton Techiya, LLC
    Inventors: John Usher, Dan Ellis
  • Patent number: 10614800
    Abstract: Among other things, a developer of an interaction application for an enterprise can create items of content to be provided to an assistant platform for use in responses to requests of end-users. The developer can deploy the interaction application using defined items of content and an available general interaction model including intents and sample utterances having slots. The developer can deploy the interaction application without requiring the developer to formulate any of the intents, sample utterances, or slots of the general interaction model.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: April 7, 2020
    Assignee: Voicify, LLC
    Inventors: Jeffrey K. McMahon, Robert T. Naughton, Nicholas G. Laidlaw, Alexander M. Dunn, Gavin Berkowitz
  • Patent number: 10606956
    Abstract: A Semantic Textual Similarity System comprising a first Long Short Term Memory, LSTM, branch adapted to be operative, to determine text similarity, on a first text corpus, the first text corpus comprising a plurality of first text elements; wherein each first text element has a first number of distinct subdivisions. The system also comprises a second LSTM branch adapted to be operative, to determine text similarity, on a second text corpus, the second text corpus comprising a plurality of second text elements, wherein each second text element has a second number of distinct subdivisions.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: March 31, 2020
    Inventors: Bernt Andrassy, Pankaj Gupta
  • Patent number: 10607614
    Abstract: An apparatus for decoding an encoded audio signal to obtain a reconstructed audio signal includes a receiving interface for receiving one or more frames comprising information on a plurality of audio signal samples of an audio signal spectrum of the encoded audio signal, and a processor for generating the reconstructed audio signal. The processor is configured to generate the reconstructed audio signal by fading a modified spectrum to a target spectrum, if a current frame is not received by the receiving interface or if the current frame is received by the receiving interface but is corrupted, wherein the modified spectrum includes a plurality of modified signal samples, wherein, for each of the modified signal samples of the modified spectrum, an absolute value of the modified signal sample is equal to an absolute value of one of the audio signal samples of the audio signal spectrum.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: March 31, 2020
    Assignee: Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V.
    Inventors: Michael Schnabel, Goran Markovic, Ralph Sperschneider, Jérémie Lecomte, Christian Helmrich
  • Patent number: 10606945
    Abstract: A dictionary data structure is described. The data structure is made up of first, second, and third tables. The first table is comprised of entries each representing a natural language term, each entry of the first table containing a term ID identifying its term. The second table is comprised of entries each representing a definition, each entry of the second containing a definition ID identifying its definition. The third table is comprised of entries each representing correspondence between a terminate definition defining the term, each entry of the third table containing term ID identifying the defined term and a definition ID identifying the defining definition. The contents of the data structure are usable to identify any definitions corresponding to a term.
    Type: Grant
    Filed: April 19, 2018
    Date of Patent: March 31, 2020
    Assignee: Unified Compliance Framework (Network Frontiers)
    Inventors: Dorian J. Cougias, Matthew Zulch, Vicki McEwen, Erwin Rydell, Erik Granlund, Steven Piliero
  • Patent number: 10593323
    Abstract: A keyword generation apparatus, comprises a vocabulary acquisition unit that acquires a keyword uttered by a first user; a first positional information acquisition unit that acquires first positional information including information representing a location at which the first user has uttered the keyword; a storage unit that stores the first positional information and the keyword in association with each other; a second positional information acquisition unit that acquires second positional information including information representing a current position of a second user; and an extraction unit that extracts a keyword unique to a locality in which the second user is positioned from the storage unit based on the second positional information.
    Type: Grant
    Filed: September 15, 2017
    Date of Patent: March 17, 2020
    Inventors: Takuma Minemura, Sei Kato, Junichi Ito, Youhei Wakisaka, Atsushi Ikeno, Toshifumi Nishijima, Fuminori Kataoka, Hiromi Tonegawa, Norihide Umeyama
  • Patent number: 10585985
    Abstract: Methods and systems for scoring written text based on use of idiomatic expressions, including reading pre-selected idiomatic expressions in a canonical form into memory, expanding idiomatic expressions from the canonical form, reading a written response into the memory, pre-processing the written response, searching the pre-processed written response for idiomatic expressions, and assigning a score to the written response. The score may be based at least in part on the number of idiomatic expressions in the written response. Corresponding apparatuses, systems, and methods are also disclosed.
    Type: Grant
    Filed: December 14, 2017
    Date of Patent: March 10, 2020
    Assignee: Educational Testing Service
    Inventors: Michael Flor, Beata Beigman Klebanov
  • Patent number: 10580412
    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.
    Type: Grant
    Filed: December 8, 2017
    Date of Patent: March 3, 2020
    Assignee: Google LLC
    Inventors: Anshul Kothari, Tarun Jain, Gaurav Bhaya
  • Patent number: 10580422
    Abstract: There is presented mechanisms for handling input envelope representation coefficients. A method is performed by an encoder of a communication system. The method comprises determining envelope representation residual coefficients as first compressed envelope representation coefficients subtracted from the input envelope representation coefficients. The method comprises transforming the envelope representation residual coefficients into a warped domain so as to obtain transformed envelope representation residual coefficients. The method comprises applying, at least one of a plurality of gain-shape coding schemes on the transformed envelope representation residual coefficients in order to achieve gain-shape coded envelope representation residual coefficients, where the plurality of gain-shape coding schemes have mutually different trade-offs in one or more of gain resolution and shape resolution for one or more of the transformed envelope representation residual coefficients.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: March 3, 2020
    Inventors: Jonas Svedberg, Stefan Bruhn, Martin Sehlstedt
  • Patent number: 10582355
    Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products for receiving a voice query at a mobile computing device and generating data that represents content of the voice query. The data is provided to a server system. A textual query that has been determined by a speech recognizer at the server system to be a textual form of at least part of the data is received at the mobile computing device. The textual query is determined to include a carrier phrase of one or more words that is reserved by a first third-party application program installed on the computing device. The first third-party application is selected, from a group of one or more third-party applications, to receive all or a part of the textual query. All or a part of the textual query is provided to the selected first application program.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: March 3, 2020
    Assignee: Google LLC
    Inventors: Michael J. LeBeau, John Nicholas Jitkoff, William J. Byrne
  • Patent number: 10572602
    Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: February 25, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
  • Patent number: 10565316
    Abstract: A dialogue complexity assessment method, system, and computer program product for introducing the notion of dialogue complexity to understand and compare dialogues in a repository, calculating the dialogue complexity, use the dialogue complexity to understand customer interactions in a variety of domains using public and proprietary data, and demonstrate the dialogue complexity usage to improve a service management operation.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: February 18, 2020
    Inventors: Biplav Srivastava, Qingzi Vera Liao, Pavan Kapanipathi Bangalore
  • Patent number: 10559225
    Abstract: Provide automatic assessment of oral recitations during computer based language assessments using a trained neural network to automate the scoring and feedback processes without human transcription and scoring input by automatically generating a score of a language assessment. Providing an automatic speech recognition (“ASR”) scoring system. Training multiple scoring reference vectors associated with multiple possible scores of an assessment, and receiving an acoustic language assessment response to an assessment item. Based on the acoustic language assessment automatically generating a transcription, and generating an individual word vector from the transcription. Generating an input vector by concatenating an individual word vector with a transcription feature vector, and supplying an input vector as input to a neural network. Generating an output vector based on weights of a neural network; and generating a score by comparing an output vector with scoring vectors.
    Type: Grant
    Filed: May 24, 2018
    Date of Patent: February 11, 2020
    Assignee: Educational Testing Service
    Inventors: Jidong Tao, Lei Chen, Chong Min Lee