Paper: Using Syntactic Information for Improving Why-Question Answering

ACL ID C08-1120
Title Using Syntactic Information for Improving Why-Question Answering
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

In this paper, we extend an existing para- graph retrieval approach to why-question answering. The starting-point is a system that retrieves a relevant answer for 73% of the test questions. However, in 41% of these cases, the highest ranked relevant answer is not ranked in the top-10. We aim to improve the ranking by adding a re- ranking module. For re-ranking we con- sider 31 features pertaining to the syntactic structure of the question and the candidate answer. We find a significant improvement over the baseline for both success@10 and MRR@150. The most important features for re-ranking are the baseline score, the presence of cue words, the question’s main verb, and the relation between question fo- cus and document title.