Abstract
Statistical NLP inevitably deals with a large number of rare events. As a consequence, NLP data often violates the assumptions implicit in traditional statistical procedures such as significance testing. We describe a significance test, an exact conditional test, that is appropriate for NLP data and can be performed using freely available software. We apply this test to the study of lexical relationships and demonstrate that the results obtained using this test are both theoretically more reliable and different from the results obtained using previously applied tests.
| Original language | English (US) |
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| Title of host publication | Proceedings of the National Conference on Artificial Intelligence |
| Editors | Anon |
| Publisher | AAAI |
| Pages | 455-460 |
| Number of pages | 6 |
| Volume | 1 |
| State | Published - Dec 1 1996 |
| Event | Proceedings of the 1996 13th National Conference on Artificial Intelligence, AAAI 96. Part 1 (of 2) - Portland, OR, USA Duration: Aug 4 1996 → Aug 8 1996 |
Other
| Other | Proceedings of the 1996 13th National Conference on Artificial Intelligence, AAAI 96. Part 1 (of 2) |
|---|---|
| City | Portland, OR, USA |
| Period | 8/4/96 → 8/8/96 |