Abstract
This paper presents an in-depth anal-ysis of a state-of-the-art Question An-swering system. Several scenarios are examined: (1) the performance of each module in a serial baseline system, (2) the impact of feedbacks and the insertion of a logic prover, and (3) the impact of various lexical resources. The main conclusion is that the overall performance depends on the depth of natural language processing resources and the tools used for answer finding.
Original language | English (US) |
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Pages (from-to) | 33-40 |
Number of pages | 8 |
Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
Volume | 2002-July |
State | Published - 2002 |
Externally published | Yes |
Event | 40th Annual Meeting of the Association for Computational Linguistics, ACL 2002 - Philadelphia, United States Duration: Jul 7 2002 → Jul 12 2002 |
ASJC Scopus subject areas
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics