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Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

Moschitti, A., Quarteroni, S., Basili, R. and Manandhar, S. (2007) Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification. In: Proceedings of 45th Annual meeting of the Association for Computational Linguistics. ACL 2007, June 2007, Prague, Czech Republic. , pp. 776-783.

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We study the impact of syntactic and shallow semantic information in automatic classifi- cation of questions and answers and answer re-ranking. We define (a) new tree struc- tures based on shallow semantics encoded in Predicate Argument Structures (PASs) and (b) new kernel functions to exploit the representational power of such structures with Support Vector Machines. Our ex- periments suggest that syntactic information helps tasks such as question/answer classifi- cation and that shallow semantics gives re- markable contribution when a reliable set of PASs can be extracted, e.g. from answers.

Item Type: Proceedings Paper
Institution: The University of York
Academic Units: The University of York > Computer Science (York)
Depositing User: York RAE Import
Date Deposited: 06 Apr 2009 15:43
Last Modified: 06 Apr 2009 15:43
Published Version: http://www.aclweb.org/anthology-new/P/P07/P07-1098...
Status: Published
URI: http://eprints.whiterose.ac.uk/id/eprint/7352

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