2002 | OriginalPaper | Buchkapitel
Retrieving NASA Problem Reports with Natural Language
verfasst von : Sebastian van Delden, Fernando Gomez
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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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.