Article | Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania | Linguistically Motivated Question Classification
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Title:
Linguistically Motivated Question Classification
Author:
Alexandr Chernov: Saarland University, Spoken Language Systems, Saarbrücken, Germany Volha Petukhova: Saarland University, Spoken Language Systems, Saarbrücken, Germany Dietrich Klakow: Saarland University, Spoken Language Systems, Saarbrücken, Germany
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Full text (pdf)
Year:
2015
Conference:
Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Issue:
109
Article no.:
009
Pages:
51-59
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2015-05-06
ISBN:
978-91-7519-098-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In this paper we describe a question interpretation module designed as a part of a Question Answering Dialogue System (QADS) which is used for an interactive quiz application. Question interpretation is achieved in applying a sequence of classification, information extraction, query formalization and query expansion tasks. The process of a question classification is performed based on a domain-specific taxonomy of semantic roles and relations. Our taxonomy was designed in accordance with the real spoken dialogue data. The SVM-based classifier is trained to predict the Expected Answer Type (EAT) with the precision of 82%. In order to retrieve a correct answer, focus word(-s) are extracted to augment the EAT identified by the system. Our hybrid algorithm for the extraction of focus words demonstrates the accuracy of 94.6%. EAT together with focus words are formalized in a query, which is further expanded with the synonyms from WordNet. The expanded query facilitates the search and retrieval of the information that is necessary to generate the system’s responses.

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Alexandr Chernov, Volha Petukhova, Dietrich Klakow
Title:
Linguistically Motivated Question Classification
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Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Author:
Alexandr Chernov, Volha Petukhova, Dietrich Klakow
Title:
Linguistically Motivated Question Classification
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