Title

Retrieving NASA problem reports with natural language

Authors

Authors

S. van Delden;F. Gomez

Comments

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Keywords

Computer Science, Information Systems; Computer Science, Software; Engineering; Computer Science, Theory & Methods

Abstract

A system that retrieves problem reports from a NASA database is described. The database is queried with natural language questions. Part-of-speech tags are first assigned to each word in the question using a rule-based tagger. A partial parse of the question is then produced with independent sets of deterministic finite state automata. Using partial parse information, a look up strategy searches the database for problem reports relevant to the question. A bigram stemmer and irregular verb conjugates have been incorporated into the system to improve accuracy. The system is evaluated by a set of fifty five questions posed by NASA engineers. A discussion of future research is also presented.

Journal Title

Natural Language Processing and Information Systems

Volume

2553

Publication Date

1-1-2002

Document Type

Article

Language

English

First Page

150

Last Page

159

WOS Identifier

WOS:000181620700013

ISSN

0302-9743; 3-540-00307-X

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