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US Patent 10515125 Structured text segment indexing techniques

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105151250
Patent Inventor Names
Christopher E. Lavergne0
Date of Patent
December 24, 2019
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Patent Application Number
156606450
Date Filed
July 26, 2017
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Patent Citations Received
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US Patent 12062366 Systems and methods for interpreting natural language search queries
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US Patent 11507572 Systems and methods for interpreting natural language search queries
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US Patent 11521722 Capturing detailed structure from patient-doctor conversations for use in clinical documentation
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US Patent 11763096 Computer implemented method for the automated analysis or use of data
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US Patent 11829725 Computer implemented method for the automated analysis or use of data
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US Patent 11914561 Systems and methods for interpreting natural language search queries using training data
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US Patent 11474999 Systems and methods for interpreting natural language search queries
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US Patent 10909401 Attention-based explanations for artificial intelligence behavior
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Patent Primary Examiner
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Loc Tran
0
Patent abstract

In some implementations, a system is capable of using natural language processing (NLP), machine learning, and classification techniques to improve the storage and retrieval of text segments within a structured text repository. Data indicating a text segment retrieved from an online resource is retrieved. Metadata associated with the online resource is obtained. One or more one or more semantic scores are determined for the text segment. One or more classification labels are assigned to the text segment based at least on the obtained metadata and the one or more determined semantic scores. The text segment is indexed within a structured text repository using the one or more assigned classification labels.

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