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.
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.
|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|