Title
Answer Credibility: A Language Modeling Approach to Answer Validation
Document Type
Article
Publication Date
Summer 5-2009
Abstract
Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.
Recommended Citation
Banerjee, P., & Han, H. (2009, May). Answer credibility: a language modeling approach to answer validation. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (pp. 157-160). Association for Computational Linguistics.
Comments
North American Association for Computational Linguistics: Human Language Technologies conference proceedings are freely available from the ACL at http://www.aclweb.org/anthology/N/N09/N09-2040.pdf. Copyright © 2009 Association for Computational Linguistics.