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Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval

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Intelligent Information and Database Systems (ACIIDS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5990))

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Abstract

Based on sliding-window rule application and extraction filtering, we present a framework for extracting multi-slot frames describing chemical reactions from Thai free text with unknown target-phrase boundaries. A supervised rule learning algorithm is employed for automatic construction of pattern-based extraction rules from hand-tagged training phrases. A filtering method is devised for removal of incorrect extraction results based on features observed from text portions appearing between adjacent slot fillers in source documents. Extracted reaction frames are represented as concept expressions in description logics and are used as metadata for document indexing. A document knowledge base supporting semantics-based information retrieval is constructed by integrating document metadata with domain-specific ontologies.

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Author information

Authors and Affiliations

  1. School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand

    Peerasak Intarapaiboon, Ekawit Nantajeewarawat & Thanaruk Theeramunkong

Authors
  1. Peerasak Intarapaiboon
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  2. Ekawit Nantajeewarawat
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  3. Thanaruk Theeramunkong
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Hue University, Str. Le Loi 3, Hue City, Vietnam

    Manh Thanh Le

  3. Faculty of Computer Science and Management, Wroclaw University of Technology, Str. Lukasiewicza 5, 50-370, Wroclaw, Poland

    Jerzy Świątek

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Intarapaiboon, P., Nantajeewarawat, E., Theeramunkong, T. (2010). Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12145-6_28

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  • DOI: https://doi.org/10.1007/978-3-642-12145-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12144-9

  • Online ISBN: 978-3-642-12145-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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