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Ananiadou, S.
Vorname(n): S.
Nachname(n): Ananiadou

Publikationen von Ananiadou, S. sortiert nach Aktualität
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Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., Sasaki, Y., Weissenbacher, D. und McNaught, J., Supporting the Education Evidence Portal via Text Mining (2010), in: Philosophical Transactions of the Royal Society A, 368:1925(3829-3844)
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Wang, X. und Ananiadou, S., A Task-Oriented Extension of the Chinese MeSH Concepts Hierarchy, in: Proceedings of the Second Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM), LREC 2010, Seiten 23--30, 2010
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Kano, Y., Dorado, R., McCrochon, L., Ananiadou, S. und Tsujii, J., U-Compare: An integrated language resource evaluation platform including a comprehensive UIMA resource library, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Seiten 428--434, 2010
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Sasaki, Y., McNaught, J. und Ananiadou, S., The value of an in-domain lexicon in genomics qa (2010), in: Journal of bioinformatics and computational biology, 8:1(147--161)
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Ananiadou, S., McNaught, J., Thomas, J. und Oliver, S., Evaluating a text mining based educational search portal, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Seiten 3344--3350, 2010
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Nawaz, R., Thompson, P., McNaught, J. und Ananiadou, S., Meta-Knowledge Annotation of Bio-Events, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Seiten 2498--2505, 2010
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Tekiner, F., Ananiadou, S., Tsuruoka, Y. und Tsujii, J., Highly Scalable Text Mining Parallel Tagging Application, in: Proceedings of ICSSCW2009, Famgusta, Cyprus, 2009
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Sasaki, Y., McNaught, J. und Ananiadou, S., The Value of an In-Domain Lexicon in Genomics QA, in: Proceedings of 3rd International Symposium on Languages in Biology and Medicine (LBM-2009), Seiten 47--55, 2009
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Sasaki, Y., Thompson, P., McNaught, J. und Ananiadou, S., Biological Event Recognition with Textual Induction, in: Proceedings of 3rd International Symposium on Languages in Biology and Medicine (LBM-2009), Seiten 91--96, 2009
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Matsuoka, Y., Ghosh, S., Kikuchi, N., Sætre, R., Kemper, B., Okazaki, N., Ananiadou, S., Tsujii, J. und Kitano, H., Community Platform for Pathway Model Building, in: 10th International Conference on Systems Biology, Seiten 139-140, Stanford University, 2009
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Nobata, C., Sasaki, Y., Okazaki, N., Rupp, C. J., Tsujii, J. und Ananiadou, S., Semantic Search on Digital Document Repositories based on Text Mining Results, in: International Conferences on Digital Libraries and the Semantic Web 2009 (ICSD2009), Seiten 34--48, 2009
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Piao, S., Rea, B., McNaught, J. und Ananiadou, S., Improving Full Text Search With Text Mining Tools, in: Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems, Seiten 301-302, 2009
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Wang, X., Tsujii, J. und Ananiadou, S., Classifying Relations for Biomedical Named Entity Disambiguation, in: Procedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'09), Seiten 1513--1522, 2009
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Sasaki, Y., Rea, B. und Ananiadou, S., Clinical Text Classification under the Open and Closed Topic Assumptions (2009), in: International Journal on Data Mining and Bioinformatics (IJDMB), 3:3(299--313)
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Spasić, I., Nenadić, G. und Ananiadou, S., Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning – IDEAL 2004, Seiten 345--351, Springer-Verlag, 2004
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Nenadić, G., Spasić, I. und Ananiadou, S., Automatic Discovery of Term Similarities Using Pattern Mining (2004), in: International Journal of Terminology, 10:1(55-80)
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Nenadić, G., Ananiadou, S. und McNaught, J., Enhancing automatic term recognition through recognition of variation, in: Proceedings of COLING 2004, Seiten 604--610, Association for Computational Linguistics, 2004
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Ananiadou, S., Friedman, C. und Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)
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