The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Com base na aplicação de regras de janela deslizante e filtragem de extração, apresentamos uma estrutura para extrair quadros multi-slot que descrevem reações químicas de texto livre em tailandês com limites de frase-alvo desconhecidos. Um algoritmo de aprendizado de regras supervisionado é empregado para construção automática de regras de extração baseadas em padrões a partir de frases de treinamento marcadas manualmente. Um método de filtragem é desenvolvido para remoção de resultados de extração incorretos com base em recursos observados em porções de texto que aparecem entre preenchimentos de slots adjacentes em documentos de origem. Os quadros de reação extraídos são representados como expressões de conceito em lógicas de descrição e são usados como metadados para indexação de documentos. Uma base de conhecimento de documentos que suporta a recuperação de informações baseada em semântica é construída através da integração de metadados de documentos com ontologias específicas de domínio.
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Peerasak INTARAPAIBOON, Ekawit NANTAJEEWARAWAT, Thanaruk THEERAMUNKONG, "Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 3, pp. 479-486, March 2011, doi: 10.1587/transinf.E94.D.479.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.479/_p
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@ARTICLE{e94-d_3_479,
author={Peerasak INTARAPAIBOON, Ekawit NANTAJEEWARAWAT, Thanaruk THEERAMUNKONG, },
journal={IEICE TRANSACTIONS on Information},
title={Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval},
year={2011},
volume={E94-D},
number={3},
pages={479-486},
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.},
keywords={},
doi={10.1587/transinf.E94.D.479},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval
T2 - IEICE TRANSACTIONS on Information
SP - 479
EP - 486
AU - Peerasak INTARAPAIBOON
AU - Ekawit NANTAJEEWARAWAT
AU - Thanaruk THEERAMUNKONG
PY - 2011
DO - 10.1587/transinf.E94.D.479
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2011
AB - 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.
ER -