Optimizing question answering accuracy by maximizing log-likelihood

Authors:
Matthias H. Heie;Edward W. D. Whittaker;Sadaoki Furui
Affiliations:
Tokyo Institute of Technology, Tokyo, Japan;Tokyo Institute of Technology, Tokyo, Japan;Tokyo Institute of Technology, Tokyo, Japan
Venue:
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Year:
2010

Citing 2
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Abstract

In this paper we demonstrate that there is a strong correlation between the Question Answering (QA) accuracy and the log-likelihood of the answer typing component of our statistical QA model. We exploit this observation in a clustering algorithm which optimizes QA accuracy by maximizing the log-likelihood of a set of question-and-answer pairs. Experimental results show that we achieve better QA accuracy using the resulting clusters than by using manually derived clusters.