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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-19094

Rinaldi, F; Hess, M; Mollà Aliod, D; Schwitter, R; Dowdall, J; Schneider, G; Fournier, R (2002). Answer extraction in technical domains. In: Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science. VOL. 2276, Mexico City, Mexico, February 2002 - February 2002, 165-177.

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Abstract

In recent years, the information overload caused by the new media has made the shortcomings of traditional Information Retrieval increasingly evident. Practical needs of industry, government organizations and individual users alike push the research community towards systems that can exactly pinpoint those parts of documents that contain the information requested, rather than return a set of relevant documents. Answer Extraction (AE) systems aim to satisfy this need. In this article we discuss the problems faced in AE and present one such system.
It has been often observed that traditional Information Retrieval should rather be called “Document Retrieval”.

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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
DDC:410 Linguistics
000 Computer science, knowledge & systems
Language:English
Event End Date:February 2002
Deposited On:30 Jul 2009 08:53
Last Modified:21 Oct 2012 17:41
ISBN:978-3-540-43219-7
Publisher DOI:10.1007/3-540-45715-1

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