Paper: Methods For Using Textual Entailment In Open-Domain Question Answering

ACL ID P06-1114
Title Methods For Using Textual Entailment In Open-Domain Question Answering
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Work on the semantics of questions has argued that the relation between a ques- tion and its answer(s) can be cast in terms of logical entailment. In this paper, we demonstrate how computational systems designed to recognize textual entailment can be used to enhance the accuracy of current open-domain automatic question answering (Q/A) systems. In our experi- ments, we show that when textual entail- ment information is used to either lter or rank answers returned by a Q/A system, accuracy can be increased by as much as 20% overall.