Method and system for information extraction

Details Method and system for information extraction Method and system for information extraction

2007-03-20

2007-03-20

Harper, V. Paul (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S008000, C704S003000, C704S004000, C704S005000

Reexamination Certificate

active

11032075

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: WO 97/38376 (1997-10-01), None
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.
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 to 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 to 244.
Grishman, R. & the TIPSTER Phase III Contractors, 1998,TIPSTER Text Architecture Design, Version 3, Oct. 17, 1998, New York University, pp. 1 to 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 Lingulstics, pp. 229 to 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 to 214.
Zajac, R. Casper, M. & Sharples, N., 1997, An open distributed architecture for reuse and integration of heterogeneous 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 to 252.
Arampatzis et al., “Linguistically-Motivated Information Retrieval”, Sep. 1999, Technical Report CSI-R9918, University of Nijmegen, The Netherlands, pp. 1 to 24.
Dragomir et al., “Ranking Suspected Answers to Natural Language Questions Using Predictive Annotation,” May 2000, ANLP 2000, Seattle, WA, pp. 1 to 8.

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