Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-19093
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.
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.
|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||06 Faculty of Arts > Institute of Computational Linguistics|
|DDC:||000 Computer science, knowledge & systems|
|Event End Date:||2002|
|Deposited On:||21 Jul 2009 14:53|
|Last Modified:||17 Oct 2012 22:14|
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