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Issue No. 04 - July/August (2003 vol. 18)
ISSN: 1541-1672
pp: 12-17
Rolf Schwitter , Macquarie University
James Dowdall , University of Zurich
Fabio Rinaldi , University of Zurich
Michael Hess , University of Zurich
Diego Moll? , Macquarie University
ABSTRACT
<p>For most companies and organizations, technical documents are highly valued knowledge sources because they combine the know-how and experience of specialists in a particular domain. To guarantee the optimal use of these documents in specific problem situations, people must be able to quickly find precise and highly reliable information. Answer extraction is a new technology that helps users find precise answers to their questions in technical documents. In this article, the authors present ExtrAns, a real-world answer extraction system designed for technical domains. ExtrAns uses robust natural language processing technology and a semantic representation for information's propositional content. Knowing the forms of a domain's terminology and understanding the relation between the terms is vital for answer extraction. By applying rewrite rules in a systematic way, ExtrAns gets a grip on technical terminology.</p>
INDEX TERMS
question answering, answer extraction, flat logical forms, terminology, natural language processing for technical domains
CITATION
Rolf Schwitter, James Dowdall, Fabio Rinaldi, Michael Hess, Diego Moll?, "ExtrAns: Extracting Answers from Technical Texts", IEEE Intelligent Systems, vol. 18, no. , pp. 12-17, July/August 2003, doi:10.1109/MIS.2003.1217623
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