METHOD AND SYSTEM FOR SEARCHING DATA BASED ON IDENTIFIED SUBSET OF CATEGORIES AND RELEVANCE-SCORED TEXT REPRESENTATION-CATEGORY COMBINATIONS

Patent №

US 7,409,336

Granted

2008-08-05

Filed 2003

Owner

SIEBEL SYSTEMS, INC.

Lab

AI components

5

ml · nlp · speech · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10465338

A method and system for analyzing natural language text to identify a set of categories of data in a knowledge base associated with the natural language text and selecting a category from the set of categories is provided. The method and system further provides automatically providing a single category if the set of categories only contains the single category. The method and system also provides that each category in the knowledge base is associated with a stored text representation of a sample natural language text and a score for the text representation-category combination, wherein the score is representative of a relative relevance of the text representation-category combination. The method and system further provide for modifying the score associated with the text representation-category combination of a selected category using feedback provided upon the selection.

AI classification

Natural language1.00
Speech1.00
Knowledge representation1.00
Machine learning0.99
Planning0.98
AI hardware0.24
Vision0.00
Evolutionary computation0.00

Ownership

SIEBEL SYSTEMS, INC.

assignment · 142060568

Assignors

PAK WAI H., SAPUTRA, SAI HENRY, ZHANG, YUNFEI, CALTABIANO, MARC ALEXANDER

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

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