Paper: Web-Based Unsupervised Learning for Query Formulation in Question Answering

ACL ID I05-1046
Title Web-Based Unsupervised Learning for Query Formulation in Question Answering
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language question to an effective query. The method involves querying a search engine for Web passages that contain the answer to the question, extracting patterns that characterize fine-grained classification for answers, and linking these patterns with n-grams in answer passages. Independent evaluation on a set of questions shows that the proposed approach outperforms a naive keyword- based approach in terms of mean reciprocal rank and human effort.