INFERRING SEMANTIC RELATIONS

Patent №

US 6,138,085

Granted

2000-10-24

Filed 1997

Owner

MICROSOFT CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08904226

The present invention provides a facility for determining, for a semantic relation that does not occur in a lexical knowledge base, whether this semantic relation should be inferred despite its absence from the lexical knowledge base. This semantic relation to be inferred is preferably made up of a first word, a second word, and a relation type relating the meanings of the first and second words. In a preferred embodiment, the facility identifies a salient semantic relation having the relation type of the semantic relation to be inferred and relating the first word to an intermediate word other than the second word. The facility then generates a quantitative measure of the similarity in meaning between the intermediate word and the second word. The facility further generates a confidence weight for the semantic relation to be inferred based upon the generated measure of similarity in meaning between the intermediate word and the second word. The facility may also generate a confidence weight for the semantic relation to be inferred based upon the weights of one or more paths connecting the first and second words.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.97
AI hardware0.64
Planning0.58
Vision0.07
Speech0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 89990594

Assignors

RICHARDSON, STEPHEN D., VANDERWENDE, LUCY

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

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