Retrieving Nasa Problem Reports With Natural Language
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.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of Pages
Article; Proceedings Paper
Source API URL
van Delden, Sebastian and Gomez, Fernando, "Retrieving Nasa Problem Reports With Natural Language" (2002). Scopus Export 2000s. 2679.