Learning the query generation patterns

Authors:
Marcin Skowron;Kenji Araki
Affiliations:
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
Venue:
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2005

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Learning surface text patterns for a Question Answering system

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics

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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.