Retrieving NASA problem reports with natural language

    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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