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Learning the Query Generation Patterns

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Computational Linguistics and Intelligent Text Processing (CICLing 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3406))

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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