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NLP for answer extraction in technical domains


Mollà Aliod, D; Rinaldi, F; Schwitter, R; Dowdall, J; Hess, M (2003). NLP for answer extraction in technical domains. In: 10th Conference of The European Chapter of the Association for Conputational Linguistics. Workshop: Natural Language Processing for Question Answering EACL-2003, Budapest, Hungary, 2003 - 2003, 5-11.

Abstract

In this paper we argue that question answering (QA) over technical domains is distinctly different from TREC-based QA or Web-based QA and it cannot benefit from data-intensive approaches. Technical questions arise in situations where concrete problems require specific answers and explanations. Finding a justification of the answer in the context of the document is essential if we have to solve a real-world problem. We show that NLP techniques can be used successfully in technical domains for high-precision access to information stored in documents. We present Extr- Ans, an answer extraction system over technical domains, its architecture, its use of logical forms for answer extractions and how terminology extraction becomes an important part of the system.

In this paper we argue that question answering (QA) over technical domains is distinctly different from TREC-based QA or Web-based QA and it cannot benefit from data-intensive approaches. Technical questions arise in situations where concrete problems require specific answers and explanations. Finding a justification of the answer in the context of the document is essential if we have to solve a real-world problem. We show that NLP techniques can be used successfully in technical domains for high-precision access to information stored in documents. We present Extr- Ans, an answer extraction system over technical domains, its architecture, its use of logical forms for answer extractions and how terminology extraction becomes an important part of the system.

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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
Dewey Decimal Classification:410 Linguistics
000 Computer science, knowledge & systems
Language:English
Event End Date:2003
Deposited On:30 Jul 2009 09:21
Last Modified:05 Apr 2016 13:15
Permanent URL: https://doi.org/10.5167/uzh-19109

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