Using scenario knowledge in automatic question answering

Authors:
Sanda Harabagiu;Andrew Hickl
Affiliations:
Language Computer Corporation, Richardson, Texas;Language Computer Corporation, Richardson, Texas
Venue:
SumQA '06 Proceedings of the Workshop on Task-Focused Summarization and Question Answering
Year:
2006

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Abstract

This paper describes a novel framework for using scenario knowledge in open-domain Question Answering (Q/A) applications that uses a state-of-the-art textual entailment system (Hickl et al., 2006b) in order to discover textual information relevant to the set of topics associated with a scenario description. An intrinsic and an extrinsic evaluation of this method is presented in the context of an automatic Q/A system and results from several user scenarios are discussed.