Data processing: speech signal processing – linguistics – language – Linguistics – Natural language
Reexamination Certificate
2005-01-11
2005-01-11
Chawan, Vijay (Department: 2654)
Data processing: speech signal processing, linguistics, language
Linguistics
Natural language
C704S008000, C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
06842730
ABSTRACT:
A method and a system for extracting information from a natural language text corpus based on a natural language query are disclosed. In the method the natural language text corpus is analyzed with respect to surface structure of word tokens and surface syntactic roles of constituents, and the analyzed natural language text corpus is then indexed and stored. Furthermore a natural language query is analyzed with respect to surface structure of word tokens and surface syntactic roles of constituents. From the analyzed natural language query one or more surface variants are then created, where these surface variants are equivalent to the natural language query with respect to lexical meaning of word tokens and surface syntactic roles of constituents. The surface variants are then compared with the indexed and stored analyzed natural language text corpus, and each portion of text comprising a string of word tokens that matches the any one of the surface variants or the natural language query is extracted from the indexed and stored analyzed natural language text corpus.
REFERENCES:
patent: 5309359 (1994-05-01), Katz
patent: 5519608 (1996-05-01), Kupiec
patent: 5696962 (1997-12-01), Kupiec
patent: 5794050 (1998-08-01), Dahlgren et al.
patent: 5933822 (1999-08-01), Braden-Harder et al.
patent: 5963940 (1999-10-01), Liddy et al.
patent: 0 886 226 (1998-12-01), None
patent: 9738376 (1997-10-01), None
Voorhees, E. “Using WordNet for Text Retrieval,” in WordNet an Electronic Lexical Database edited by C. Fellbaum, 1998, pp. 295-303.*
Arampatzis et al., “Linguistically-motivated Information Retrieval,” Sep. 1999, Technical Report CSI-R9918, University of Nijmegen, The Netherlands, pp. 1-24.*
Dragomir et al., “Ranking suspected answers to natural language questions using predictive annotation,” May 2000, ANLP 2000, Seattle, WA, pp. 1-8.*
AltaVista Search Developer's Kit 97, Dec. 1997, [This document is a compilation of the HTML files available with the installed software,] Maynard, Massachusetts, pp. 1-43 plus A1 to A7.
Cunningham, H. et al, 1997, Software infrastructure for Natural Language Processing, in Proceedings ofFifth Conference on Applied Natural Language Processing(Mar. 31 -Apr. 3, 1997, Washington, DC, USA), Association for Computational Linguistics, pp. 237-244.
Grishman, R. & the TIPSTER Phase III Contractors, 1998,TIPSTER Text Architecture Design, Version 3,1 Oct. 7, 1998, New York University, pp. 1-62.
McKelvie, D., Brew, C. & Thompson, H., 1997, Using SGML as a basis for a data-intensive NLP, in Proceedings ofFifth Conference on Applied Natural Language Processing(Mar. 31 -Apr. 3, 1997, Washington, DC, USA), Association for Computational Linguistics, pp. 229-236.
Wilks, Y. & Gaizauskas, R., 1999, LaSIE jumps the GATE, in T. Strzalkowski (ed.),Natural Language Information Retrieval, Kluwer Academic Publishers, the Netherlands, pp. 197-214.
Zajac, R., Casper, M. & Sharples, N., 1997, An open distributed architecture for reuse and integration of heterogenous NLP components, in Proceedings ofFifth Conference on Applied Natural Language Processing(Mar. 31 -Apr. 3, 1997, Washington, DC, USA), Association for Computational Linguistics, pp. 245-252.
A. Arampatzis et al. An Evaluation of Linguistically-motivated Indexing Schemes.
R. Pohlman et al. The Effects of Sytactic Phrase Indexing on Retrieval Performance for Dutch Texas.
A. Arampatzis et al; Phrase-based Information Retrieval.
Braroe Peter A.
Ejerhed Eva Ingegord
Burns Doane , Swecker, Mathis LLP
Chawan Vijay
Hapax Limited
Harper V. Paul
LandOfFree
Method and system for information extraction does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for information extraction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for information extraction will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3382868