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

    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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