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    System and methods for language processing of document sequences using a neural network
    42.
    发明授权
    System and methods for language processing of document sequences using a neural network 有权

    公开(公告)号：US11983498B2

    公开(公告)日：2024-05-14

    申请号：US17205153

    申请日：2021-03-18

    申请人： Augmented Intelligence Technologies, Inc.

    发明人： Martin Elisco ,  Jim Lindstrom ,  Logan Courtney

    IPC分类号： G06F40/295 ,  G06F16/93 ,  G06F40/12 ,  G06F40/205 ,  G06N3/08

    CPC分类号： G06F40/295 ,  G06F16/93 ,  G06F40/12 ,  G06F40/205 ,  G06N3/08

    摘要： A system and method for natural language processing for document sequences comprises a computing device configured to train a neural network as a function of a corpus of documents, wherein training comprises receiving the corpus of documents, identifying significant terms, and tuning, as a function of the corpus of documents, the neural network to generate a plurality of vectors for each significant term of the plurality of significant terms, a vector in a vector space representing semantic relationships between the significant terms and semantic units in the corpus of documents, receive a current document sequence including a plurality of documents in a sequential order, map a plurality of mapped terms of the plurality of significant terms to the plurality of documents as a function of the neural network and the plurality of vectors, and generate a plurality of timelines as a function of the sequential order and the mapped terms.

    METHOD AND APPARATUS FOR AUTOMATIC ENTITY RECOGNITION IN CUSTOMER SERVICE ENVIRONMENTS
    44.
    发明公开
    METHOD AND APPARATUS FOR AUTOMATIC ENTITY RECOGNITION IN CUSTOMER SERVICE ENVIRONMENTS 审中-公开

    公开(公告)号：US20240143925A1

    公开(公告)日：2024-05-02

    申请号：US17978206

    申请日：2022-10-31

    申请人： Uniphore Technologies, Inc.

    发明人： Ayeleth ZARROUK ,  Asaf WEXLER

    IPC分类号： G06F40/295 ,  G06Q30/00

    CPC分类号： G06F40/295 ,  G06Q30/016

    摘要： Method and apparatus for entity recognition in customer service environments includes a processor, and a memory storing instructions that, when executed by the processor, configure the apparatus to perform a method. The method includes processing an input includes a message of a conversation by multiple artificial intelligence/machine learning (AI/ML) models. The message includes a transcript or a summary of at least a part of the conversation. Each of the multiple models is configured to generate, based on the input, an output including one or more entities mentioned in the conversation. A single output corresponding to the conversation is determined based on the multiple outputs, one from each of the multiple models.

    WORD SELECTION SUPPORT DEVICE, WORD SELECTION SUPPORT METHOD, AND PROGRAM
    45.
    发明公开
    WORD SELECTION SUPPORT DEVICE, WORD SELECTION SUPPORT METHOD, AND PROGRAM 审中-公开

    公开(公告)号：US20240135104A1

    公开(公告)日：2024-04-25

    申请号：US18279584

    申请日：2021-03-01

    申请人： NIPPON TELEGRAPH AND TELEPHONE CORPORATION

    发明人： Shota ORIHASHI ,  Masato SAWADA

    IPC分类号： G06F40/295 ,  G06F40/157

    CPC分类号： G06F40/295 ,  G06F40/157

    摘要： A word selection support device according to the present disclosure includes processing circuitry configured to derive, for each extracted unknown word that is a term that is extracted from a target corpus and is not registered in dictionary data, statistical information regarding the extracted unknown word in a plurality of corpuses including the target corpus, and calculate appropriateness as a registered unknown word possibility that is a possibility of an unknown word to be registered in the dictionary data for each of the extracted unknown word on the basis of the statistical information.

    MEDICINE EVALUATION SYSTEM
    49.
    发明公开
    MEDICINE EVALUATION SYSTEM 审中-公开

    公开(公告)号：US20240120114A1

    公开(公告)日：2024-04-11

    申请号：US18264678

    申请日：2022-02-08

    申请人： TALKING MEDICINES LIMITED

    发明人： Elizabeth Anne Lyle BALMFORTH

    IPC分类号： G16H70/40 ,  G06F40/169 ,  G06F40/295 ,  G16H10/20 ,  G16H15/00 ,  G16H50/70

    CPC分类号： G16H70/40 ,  G06F40/169 ,  G06F40/295 ,  G16H10/20 ,  G16H15/00 ,  G16H50/70

    摘要： A method of estimating the effectiveness or safety of a medicine, the method including receiving commentary data encoding a plurality of items of commentary substantially related to medical subject-matter; processing the commentary data using at least one classifier to identify for each item a commentary type and a list of medicines associated with the commentary; selecting a subset of items, from the plurality of items of commentary, identified as referencing the medicine and whose commentary type has been identified as commentary from a patient who has used the medicine; processing the subset of items to generate content analysis data including, for each item, at least one estimate quantifying a respective at least one aspect of an effect of the medicine as described by the patient in the commentary; and processing the content analysis data to calculate an estimate indicative of the overall effectiveness or safety of the medicine.

    Knowledge-guided system for automated event monitoring
    50.
    发明授权
    Knowledge-guided system for automated event monitoring 有权

    公开(公告)号：US11954606B2

    公开(公告)日：2024-04-09

    申请号：US17240501

    申请日：2021-04-26

    申请人： SAP SE

    发明人： Susan Marie Thomas

    IPC分类号： G06F17/00 ,  G06F7/00 ,  G06F11/34 ,  G06F16/901 ,  G06F40/211 ,  G06F40/284 ,  G06F40/295 ,  G06N5/022 ,  G06N20/00

    CPC分类号： G06N5/022 ,  G06F11/3476 ,  G06F16/9027 ,  G06F40/211 ,  G06F40/284 ,  G06F40/295 ,  G06N20/00

    摘要： Automated event monitoring is performed utilizing a Knowledge Graph (KG) constructed by grouping and consolidation of a variety of log Entry Types. A log entry is received by a knowledge graph parser (Kg parser). That parser finds contiguous sub-strings in a log entry that have a parameterized basic-format. The parser figures out which basic-formats are present, where, and with which parameters. Given a sub-string, its basic-format and its parameters, the parser can correctly parse the sub-string to components (e.g., keys and values if a key-value format; fields if a structured format). A result of the parsing is an entity type tree structure. Next, a grouping and consolidation capability functions to modify the KG to incorporate an incoming new entry type structure. The KG may be consumed by a user (e.g., visualization; querying), and may provide an artifact to an event monitoring system to automatically trigger certain actions (e.g., alerts).