Intention detection in domain-specific information

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United States of America Patent

PATENT NO 9720902
SERIAL NO

15071743

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Abstract

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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.

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Patent Owner(s)

  • BAYLOR COLLEGE OF MEDICINE;INTERNATIONAL BUSINESS MACHINES CORPORATION;BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bachman, Benjamin J Houston, US 3 11
Donehower, Lawrence A Houston, US 4 29
Lichtarge, Olivier Houston, US 8 17
Nagarajan, Meenakshi San Jose, US 25 129
Pickering, Curtis R Houston, US 6 26
Regenbogen, Sam J Houston, US 3 11
Spangler, William Scott San Martin, US 47 1694
Wilkins, Angela D Houston, US 6 15

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