acl acl2010 acl2010-189 acl2010-189-reference knowledge-graph by maker-knowledge-mining

189 acl-2010-Optimizing Question Answering Accuracy by Maximizing Log-Likelihood


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Author: Matthias H. Heie ; Edward W. D. Whittaker ; Sadaoki Furui

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.


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