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ExtrAns: Extracting Answers from Technical Texts
July/August 2003 (vol. 18 no. 4)
pp. 12-17
Diego Moll?, Macquarie University
Rolf Schwitter, Macquarie University
Fabio Rinaldi, University of Zurich
James Dowdall, University of Zurich
Michael Hess, University of Zurich

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.

Index Terms:
question answering, answer extraction, flat logical forms, terminology, natural language processing for technical domains
Diego Moll?, Rolf Schwitter, Fabio Rinaldi, James Dowdall, Michael Hess, "ExtrAns: Extracting Answers from Technical Texts," IEEE Intelligent Systems, vol. 18, no. 4, pp. 12-17, July-Aug. 2003, doi:10.1109/MIS.2003.1217623
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