ONTOLOGY-DRIVEN ANNOTATION CONFIDENCE LEVELS FOR NATURAL LANGUAGE PROCESSING

Patent №

US 9,547,640

Granted

2017-01-17

Filed 2013

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14055185

An approach for determining a combination of terms that represents subject matter of a natural language sentence is provided. Numbers of words from a beginning of the sentence to terms in the sentence that match terms in the combination of terms are determined. The sentence is divided into natural language phrases including a complex phrase and first and second simple phrases extracted from the complex phrase. Based in part on (a) the numbers of words from the beginning of the sentence to the terms in the sentence that match terms in the combination of terms, (b) whether all terms of the combination are contained in the first and/or second simple phrases, and (c) whether all terms of the combination are contained in the complex phrase but not contained in the first and/or second simple phrases, how well the combination of terms represents the subject matter is determined.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG06F 40/289G06F 16/3334G06F 40/205G06F 40/211G06F 40/253G06F 40/30G06F 40/40

AI classification

Natural language1.00
AI hardware1.00
Speech1.00
Machine learning0.92
Knowledge representation0.78
Vision0.23
Planning0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 314160310

Assignors

BOSTICK, JAMES E., GANCI, JOHN M., JR., SALAH, IBRAHIM, TRIM, CRAIG M.

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

From the same owner

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