Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2011-03-01
著者
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Theeramunkong Thanaruk
Thammasat Univ. Tha
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Theeramunkong Thanaruk
School Of Information And Computer Technology Siit Thammasat University
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Nantajeewarawat Ekawit
Computer Science Program Sirindhorn International Institute Of Technology Thammasat University
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INTARAPAIBOON Peerasak
School of Information and Computer Technology Sirindhorn International Institute of Technology, Tham
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NANTAJEEWARAWAT Ekawit
School of Information and Computer Technology Sirindhorn International Institute of Technology, Tham
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Intarapaiboon Peerasak
School Of Information And Computer Technology Sirindhorn International Institute Of Technology Thamm
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