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US Patent 11748562 Selective deep parsing of natural language content

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748562
Patent Inventor Names
David B. Werts
Robert C. Sizemore
Sterling R. Smith
Date of Patent
September 5, 2023
Patent Application Number
17851584
Date Filed
June 28, 2022
Patent Citations
‌
US Patent 9323747 Deep model statistics method for machine translation
‌
US Patent 10133724 Syntactic classification of natural language sentences with respect to a targeted element
‌
US Patent 9292490 Unsupervised learning of deep patterns for semantic parsing
Patent Primary Examiner
‌
Asher D Kells
CPC Code
‌
G06F 40/205

Mechanisms are provided to perform selective deep parsing of natural language content. A targeted deep parse natural language processing system is configured to recognize one or more triggers that specify elements within natural language content that indicate a portion of natural language content that is to be targeted with a deep parse operation. A portion of natural language content is received and a pre-deep parse scan operation is performed on the natural language content based on the one or more triggers to identify one or more sub-portions of the natural language content that contain at least one of the one or more triggers. A deep parse is performed on only the one or more sub-portions of the portion of natural language content that contain at least one of the one or more triggers, while other sub-portions of the portion of natural language content are not deep parsed.

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