Invention Grant
- Patent Title: Systems and methods for learning semantic patterns from textual data
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Application No.: US14737379Application Date: 2015-06-11
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Publication No.: US09959341B2Publication Date: 2018-05-01
- Inventor: Jan Curin
- Applicant: Nuance Communications, Inc.
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N99/00 ; G06F17/27

Abstract:
In some embodiments, a system is provided comprising at least one processor programmed to process an input text to identify a plurality of semantic patterns that match the input text, wherein, for at least one semantic pattern of the plurality of semantic patterns: the at least one semantic pattern comprises a plurality of semantic entities identified from the at least one input text, and the plurality of semantic entities occur in a common context within the at least one input text. The at least one processor may be further programmed to use statistical information derived from training data to associate a respective weight with each semantic pattern of the plurality of semantic patterns.
Public/Granted literature
- US20160364476A1 SYSTEMS AND METHODS FOR LEARNING SEMANTIC PATTERNS FROM TEXTUAL DATA Public/Granted day:2016-12-15
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