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公开(公告)号:US11615492B2
公开(公告)日:2023-03-28
申请号:US16411809
申请日:2019-05-14
发明人: Julian Brooke , Kanika Madan , Hector Martinez Alonso , Afsaneh Fazly , Tonya Custis , Isabelle Moulinier , Gayle McElvain , Diane Erickson , Khaled Ammar
摘要: The present disclosure relates to systems and methods for analyzing citationally related content and identifying, based on the analysis, a risk of impliedly overruled content. Embodiments provide for receiving case law data from a document source, for extracting a case triple that includes a first case overruling or abrogating a second case, and a third case citationally related to the second case. Features may be generated from case triple, such as natural processing language features comparing the language in the various cases of the triple, and feeding the generated features to a main classifier. In embodiments, the main classifier classifies the case triple into a class indicating the risk probability that the second case is impliedly overruled by the first case.
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2.
公开(公告)号:US20210382878A1
公开(公告)日:2021-12-09
申请号:US17403858
申请日:2021-08-16
IPC分类号: G06F16/242 , G06N5/04 , G06F16/248
摘要: The present disclosure relates to systems and methods for generating contextually, grammatically, and conversationally correct answers to input questions. Embodiments provide for linguistic and syntactic structure analysis of a submitted question in order to determine whether the submitted question may be answered by at least one headnote. The question is then further analyzed to determine more details about the intent and context of the question. A federated search process, based on the linguistic and syntactic structure analysis, and the additional analysis of the question is used to identify candidate question-answer pairs from a corpus of previously created headnotes. Machine learning models are used to analyze the candidate question-answer pairs, additional rules are applied to rank the candidate answers, and dynamic thresholds are applied to identify the best potential answers to provide to a user as a response to the submitted question.
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3.
公开(公告)号:US11106664B2
公开(公告)日:2021-08-31
申请号:US16402100
申请日:2019-05-02
IPC分类号: G06F16/242 , G06N5/04 , G06F16/248
摘要: The present disclosure relates to systems and methods for generating contextually, grammatically, and conversationally correct answers to input questions. Embodiments provide for linguistic and syntactic structure analysis of a submitted question in order to determine whether the submitted question may be answered by at least one headnote. The question is then further analyzed to determine more details about the intent and context of the question. A federated search process, based on the linguistic and syntactic structure analysis, and the additional analysis of the question is used to identify candidate question-answer pairs from a corpus of previously created headnotes. Machine learning models are used to analyze the candidate question-answer pairs, additional rules are applied to rank the candidate answers, and dynamic thresholds are applied to identify the best potential answers to provide to a user as a response to the submitted question.
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