Moschitti, A., Quarteroni, S., Basili, R. et al. (1 more author) (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.
Abstract
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (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 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:7352 |