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NLP for Answer Extraction in Technical Domains
NLP for Answer Extraction in Technical Domains
Publication type:
inproceedings
Authors:
D MollĂ Aliod
,
Fabio Rinaldi
,
R Schwitter
,
J Dowdall
,
M Hess
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.
Title:
NLP for Answer Extraction in Technical Domains
Year:
2003
booktitle:
10th Conference of The European Chapter of the Association for Conputational Linguistics. Workshop: Natural Language Processing for Question Answering EACL-2003
pages:
5-11
address:
Budapest, Hungary
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