Title

Retrieving Nasa Problem Reports: A Case Study In Natural Language Information Retrieval

Keywords

Finite state; Information retrieval; Natural language; Partial parsing

Abstract

A system that retrieves problem reports from a NASA database is described. This research has been supported by NASA grants 16-40-201 and 16-40-202. 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. © 2003 Elsevier B.V. All rights reserved.

Publication Date

2-1-2004

Publication Title

Data and Knowledge Engineering

Volume

48

Issue

2

Number of Pages

231-246

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/S0169-023X(03)00106-X

Socpus ID

0346341050 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0346341050

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