Publications of Tsujii, J.
2005
| , and , MaSTerClass: a case-based reasoning system for the classification of biomedical terms (2005), in: Bioinformatics, 21:11(2748--2758) |
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| and , Maximum Entropy Models with Inequality Constraints: A case study on text categorization (2005), in: Machine Learning, 60:1-3(169-194) |
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| , and , Mining Biomedical Abstracts: What’s in a Term?, in: Natural Language Processing – IJCNLP 2004, Springer-Verlag, 2005 |
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| , and , Probabilistic CFG with Latent Annotations, in: Proceedings of ACL 2005, pages 75--82, 2005 |
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| and , Probabilistic disambiguation models for wide-coverage HPSG parsing, in: Proceedings of ACL 2005, pages 83--90, 2005 |
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| and , Thesaurus or Logical Ontology, Which One Do We Need for Text Mining? (2005), in: Language Resources and Evaluation, 39:1(77-90) |
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2004
| , and , An Empirical Investigation of the Effect of Lexical Rules on Parsing with a Treebank Grammar, in: Proceedings of The Third Workshop on Treebanks and Lingustic Theories (TLT 2004), pages 103--114, 2004 |
| , , and , Building Patterns for Biomedical Event Extraction, in: Proceedings of the 15th International conference on Genome Informatics (GIW), pages 163--164, 2004 |
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| and , Deep Linguistic Analysis for the Accurate Identification of Predicate-Argument Relations, in: Proceedings of COLING 2004, pages 1392-1397, 2004 |
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| and , Improving the Performance of Dictionary-based Approaches in Protein Name Recognition (2004), in: Journal of Biomedical Informatics, 37:6(461-470) |
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| , and , Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395) |
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| and , Part-of-Speech Annotation of Biology Research Abstracts, in: Proceedings of 4th International Conference on Language Resources and Evaluation (LREC 2004), pages 1267-1270, 2004 |
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| , and , Towards efficient probabilistic HPSG parsing: integrating semantic and syntactic preference to guide the parsing, in: Proceedings of IJCNLP-04 Workshop: Beyond shallow analyses - Formalisms and statistical modeling for deep analyses, 2004 |
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