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Towards Answer Extraction: An Application to Technical Domains

by: Fabio Rinaldi and James Dowdall and Michael Hess and Diego Mollá and Rolf Schwitter

In: Proc. ECAI2002 July 21-26 2002, Lyon, FranceAmsterdam: IOS Press (2002) , p. 460-464.

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URL:	http://www.ifi.unizh.ch/staff/rinaldi/

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 community towards systems that can exactly pinpoint those parts of documents that contain the information requested. Answer Extraction AE systems satisfy that 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.

BibTeX record

@inproceedings{Rinaldi:2002,
  address = {Amsterdam},
  author = {Fabio Rinaldi and James Dowdall and Michael Hess and Diego Moll{\'a} and Rolf Schwitter},
  booktitle = {Proc. ECAI2002 July 21-26 2002, Lyon, France},
  editor = {Frank van Harmelen},
  interHash = {24563ca9f22cb07b18cbd0003fd4255c},
  intraHash = {a9862cf4812a9496453656806f9f2a16},
  pages = {460-464},
  publisher = {IOS Press},
  title = {Towards Answer Extraction: An Application to Technical Domains},
  url = {http://www.ifi.unizh.ch/staff/rinaldi/},
  year = {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 community towards systems that can exactly pinpoint those parts of documents that contain the information requested. Answer Extraction (AE) systems satisfy that 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.}
}

Endnote record

%0 Conference Paper
%1 Rinaldi:2002
%A Fabio Rinaldi
%A James Dowdall
%A Michael Hess
%A Diego Moll{\'a}
%A Rolf Schwitter
%B Proc. ECAI2002 July 21-26 2002, Lyon, France
%C Amsterdam
%D 2002
%E Frank van Harmelen
%I IOS Press
%K 
%P 460-464
%T Towards Answer Extraction: An Application to Technical Domains
%U http://www.ifi.unizh.ch/staff/rinaldi/
%X 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 community towards systems that can exactly pinpoint those parts of documents that contain the information requested. Answer Extraction (AE) systems satisfy that 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.

BibSonomy :: BibTeX ::

Towards Answer Extraction: An Application to Technical Domains

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Abstract

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