INTENTION DETECTION IN DOMAIN-SPECIFIC INFORMATION

Patent №

US 9,720,902

Granted

2017-08-01

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

+2 more

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15071743

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.

Machine learningNatural languageKnowledge representationG06F 40/253G06F 16/313G06F 40/205G06F 40/284G06F 40/289

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning1.00
AI hardware0.24
Vision0.09
Planning0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 380030141

BAYLOR COLLEGE OF MEDICINE

assignment · 380030269

THE BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

assignment · 381180767

Assignors

NAGARAJAN, MEENAKSHI, SPANGLER, WILLIAM SCOTT

On an employer assignment, the assignors are typically the inventors.

From the same owner

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