Abstract
With the current method of query formation, a Question Answering system retrieves a set of documents that are similar to a question, while what is mostly required is a set where an answer occurs frequently. This paper addresses this problem by presenting the Query Generation Pattern method. The aim of the method is to automatically learn an optimal combination, modifications of question words and possible extension of a query with non-question words, which for a given question category and syntax, form reliable queries that retrieve an answer-rich set of documents.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Greenwood, M.: Question Answering. PhD Progress Report (2002), http://www.dcs.shef.ac.uk/~mark/phd/work
Hovy, E., Hermajakob, U., Ravichandran, D.: Proceedings of the Human Language Technology (HLT) Conference (2002)
Ravichandran, D., Hovy, E.: Learning Surface Text Patterns for a Question Answering System. In: Proc. of 40th Annual Meeting of the Association for Computational Linguistics, ACL (2002)
Skowron, M., Araki, K.: Basic Idea of Corpus-Supported Approach to Question Answering. Convention Record of the Hokkaido Chapters of the IEEE (2003)
Soubbotin, M.M., Soubbotin, S.M.: Patterns of Potential Answer Expressions as Clues to the Right Answer. In: Proc. of 10th Text retrieval Conference, TREC10 (2002)
Zhang, D., Lee, W.: Web Based Pattern Mining and Matching Approach to Question Answering. In: Proceedings of the 11th Text REtrieval Conference, TREC (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Skowron, M., Araki, K. (2005). Learning the Query Generation Patterns. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_67
Download citation
DOI: https://doi.org/10.1007/978-3-540-30586-6_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
eBook Packages: Computer ScienceComputer Science (R0)