USER INTERFACE AND OTHER ENHANCEMENTS FOR NATURAL LANGUAGE INFORMATION RETRIEVAL SYSTEM AND METHOD

Patent №

US 6,026,388

Granted

2000-02-15

Filed 1996

Owner

TEXTWISE LLC

Lab

AI components

4

ml · nlp · speech · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08696702

Techniques for generating sophisticated representations of the contents of both queries and documents in a retrieval system by using natural language processing (NLP) techniques to represent, index, and retrieve texts at the multiple levels (e.g., the morphological, lexical, syntactic, semantic, discourse, and pragmatic levels) at which humans construe meaning in writing. The user enters a query and the system processes the query to generate an alternative representation, which includes conceptual-level abstraction and representations based on complex nominals (CNs), proper nouns (PNs), single terms, text structure, and logical make-up of the query, including mandatory terms. After processing the query, the system displays query information to the user, indicating the system's interpretation and representation of the content of the query. The user is then given an opportunity to provide input, in response to which the system modifies the alternative representation of the query. Once the user has provided desired input, the possibly modified representation of the query is matched to the relevant document database, and measures of relevance generated for the documents. A set of documents is presented to the user, who is given an opportunity to select some or all of the documents, typically on the basis of such documents being of particular relevance. The user then initiates the generation of a query representation based on the alternative representations of the selected document(s).

Machine learningNatural languageSpeechKnowledge representationG06F 16/3329G06F 16/3344Y10S 707/99931Y10S 707/99935

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning0.87
Speech0.68
AI hardware0.18
Vision0.02
Planning0.01
Evolutionary computation0.00

Ownership

TEXTWISE LLC

assignment · 83480742

Assignors

LIDDY, ELIZABETH D., MCKENNA. MARY E., WEINER, MICHAEL L., YU, EDMUND S., DIAMOND THEODORE G., BALAKRISHNAN, BHASKARAN, SNDER, DAVID L, PAIK, WOOJIN

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

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