Abstract
We present a statistical question answering system developed for TREC-9 in detail. The system is an application of maximum entropy classification for question/answer type prediction and named entity marking. We describe our system for information retrieval which did document retrieval from a local encyclopedia, and then expanded the query words and finally did passage retrieval from the TREC collection. We will also discuss the answer selection algorithm which determines the best sentence given both the question and the occurrence of a phrase belonging to the answer class desired by the question. A new method of analyzing system performance via a transition matrix is shown.
| Original language | American English |
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| State | Published - 2001 |
| Event | 2nd Meeting of the North American Chapter of the Association for Computational Linguistics, NAACL 2001 - Pittsburgh, United States Duration: Jun 2 2001 → Jun 7 2001 |
Conference
| Conference | 2nd Meeting of the North American Chapter of the Association for Computational Linguistics, NAACL 2001 |
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| Country/Territory | United States |
| City | Pittsburgh |
| Period | 6/2/01 → 6/7/01 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language