Paper: Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

ACL ID P07-1098
Title Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

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.