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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | Towards Answer Extraction: An application to Technical Domains |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Event Title | ECAI 2002. Proceedings of the 15th European Conference on Artificial Intelligence |
| Place of Publication | Amsterdam, Netherlands |
| Publisher | IOS |
| Abstract Text | The shortcomings of traditional Information Retrieval are most evident when users require exact information rather than relevant documents. This practical need is pushing the research com- munity towards systems that can exactly pinpoint those parts of documents that contain the information requested. Answer Extrac- tion (AE) systems aim to satisfy this need. This paper presents one such system (ExtrAns) which works by transforming documents and queries into a semantic representation called Minimal Logical Form (MLF) and derives the answers by logical proof from the documents. MLFs use underspeci?cation to overcome the problems associated with a complete semantic representation and offer the possibility of monotonic, non-destructive extension. |
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