Title

Retrieving NASA problem reports: a case study in natural language information retrieval

Authors

Authors

S. van Delden;F. Gomez

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Data Knowl. Eng.

Keywords

information retrieval; natural language; finite state; partial parsing; Computer Science, Artificial Intelligence; Computer Science, Information; Systems

Abstract

A system that retrieves problem reports from a NASA database is described.(1) 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 55 questions posed by NASA engineers. A discussion of future research is also presented. (C) 2003 Elsevier B.V. All rights reserved.

Journal Title

Data & Knowledge Engineering

Volume

48

Issue/Number

2

Publication Date

1-1-2004

Document Type

Article; Proceedings Paper

Language

English

First Page

231

Last Page

246

WOS Identifier

WOS:000188508700006

ISSN

0169-023X

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