Retrieving NASA problem reports with natural language
Computer Science, Information Systems; Computer Science, Software; Engineering; Computer Science, Theory & Methods
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.
Natural Language Processing and Information Systems
"Retrieving NASA problem reports with natural language" (2002). Faculty Bibliography 2000s. 3518.