IDENTIFYING SALIENT SEMANTIC RELATION PATHS BETWEEN TWO WORDS

Patent №

US 6,070,134

Granted

2000-05-30

Filed 1997

Owner

MICROSOFT CORPORATION

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08904418

The present invention identifies salient semantic relation paths between two words using a knowledge base. For a group of semantic relations occurring in the knowledge base, the facility models with a mathematical function the relation between a frequency of occurrence of unique semantic relations and the number of unique semantic relations that occur at that frequency. This mathematical function has a vertex frequency identifying a transition point in the mathematical function. The facility then determines the level of salience of unique semantic relations of the group such that the level of salience of unique semantic relations increases with the frequency of occurrence of the unique semantic relations approaches the vertex frequency of the mathematical function with which the relation between the frequency of occurrence of the unique semantic relations and the number of unique semantic relations occurring at that frequency is modeled. The facility is then able to determine the level of salience of a particular path between two words by combining the levels of salience determined for the semantic relations in the path.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.99
Planning0.39
AI hardware0.15
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 90030453

Assignors

RICHARDSON, STEPHEN D., DOLAN, WILLIAM B.

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

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