Ananiadou, S.
First name(s): S.
Last name(s): Ananiadou

Publications of Ananiadou, S. sorted by first author
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-426 |


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Tsuruoka, Y., Tateisi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S. and Tsujii, J., Developing a Robust Part-of-Speech Tagger for Biomedical Text, in: Advances in Informatics - 10th Panhellenic Conference on Informatics, pages 382--392, Springer-Verlag, 2005
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Tsuruoka, Y., Tsujii, J. and Ananiadou, S., Fast Full Parsing by Linear-Chain Conditional Random Fields, in: Proceedings of the 12th Conference of European Chapter of the Association for Computational Linguistics (EACL-09), pages 790--798, 2009
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Tsuruoka, Y., Tsujii, J. and Ananiadou, S., Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), pages 30--37, Association for Computational Linguistics, 2008
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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. and Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 218-224, 2022
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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. and Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 876-882, 2021
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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. and Ananiadou, S., The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), pages 57-69, 2021
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Venturi, G., Montemagni, S., Marchi, S., Sasaki, Y., Thompson, P., McNaught, J. and Ananiadou, S., Bootstrapping a Verb Lexicon for Biomedical Information Extraction, in: Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2009), pages 137--148, Springer, 2009
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Wang, X. and 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, pages 23--30, 2010
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Wang, X., Rak, R., Restificar, A., Nobata, C., Rupp, C. J., Batista-Navarro, R., Nawaz, R. and Ananiadou, S., NaCTeM Systems for BioCreative III PPI Tasks, in: Proceedings of the BioCreative III Workshop, pages 142-147, 2010
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Wang, X., Thompson, P. and Ananiadou, S., Biomedical Chinese-English CLIR Using an Extended CMeSH Resource to Expand Queries, in: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), pages 1148-1155, 2012
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Wang, X., Tsujii, J. and Ananiadou, S., Classifying Relations for Biomedical Named Entity Disambiguation, in: Procedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'09), pages 1513--1522, 2009
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Wang, Y., Ananiadou, S. and Tsujii, J., Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-426 |