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
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.