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Intelligent text retrieval and knowledge acquisition from texts for nasa applications: preprocessing issues
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Copyright Year | 2002 |
| Description | 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 a utomata. 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. |
| File Size | 476272 |
| Page Count | 7 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20030001047 |
| Archival Resource Key | ark:/13960/t0ns5q53w |
| Language | English |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Documentation And Information Science Words Language Knowledge Based Systems Natural Language Computers Parsing Algorithms Information Retrieval Natural Language Processing Artificial Intelligence Grammars Information Dissemination Data Bases Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
