Invention Grant
- Patent Title: Intention detection in domain-specific information
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Application No.: US15071743Application Date: 2016-03-16
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Publication No.: US09720902B2Publication Date: 2017-08-01
- Inventor: Meenakshi Nagarajan , William Scott Spangler , Benjamin J. Bachman , Lawrence A. Donehower , Olivier Lichtarge , Sam J. Regenbogen , Angela D. Wilkins , Curtis R. Pickering
- Applicant: International Business Machines Corporation , Baylor College of Medicine , The Board of Regents, The University of Texas System
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; William Stock
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F17/30

Abstract:
A new information in a language and relating to a subject matter domain is parsed into a constituent set of complete grammatical constructs. In a subset of the complete grammatical constructs, a set of linguistic styles of the language is identified according to a subset of a set of word-style associations related to the language and independent of the subject matter domain. A first weight is assigned to a first linguistic style and a second weight to a second linguistic style from the set of linguistic styles. A first intention information is mapped to the first style using a first style-intention rule, and a second intention information to the second style using a second style-intention rule. A complete grammatical construct in the subset is tagged with the first intention information responsive to a weight associated with the first intention information exceeding an intention selection threshold.
Public/Granted literature
- US20160203118A1 INTENTION DETECTION IN DOMAIN-SPECIFIC INFORMATION Public/Granted day:2016-07-14
Information query