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Towards answer extraction: an application to technical domains


Rinaldi, F; Dowdall, J; Hess, M; Mollà Aliod, D; Schwitter, R (2002). Towards answer extraction: an application to technical domains. In: ECAI 2002. Proceedings of the 15th European Conference on Artificial Intelligence, Amsterdam, Netherlands, 2002 - 2002.

Abstract

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 underspecification to overcome the problems associated with a complete semantic representation and offer the possibility of monotonic, non-destructive extension.

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 underspecification to overcome the problems associated with a complete semantic representation and offer the possibility of monotonic, non-destructive extension.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:2002
Deposited On:21 Jul 2009 14:53
Last Modified:05 Apr 2016 13:15
Permanent URL: http://doi.org/10.5167/uzh-19093

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