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Tsuruoka, Y., Miyao, Y. and Tsujii, J., 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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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. and Tsujii, J., Bidirectional inference with the easiest-first strategy for tagging sequence data, in: HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, Vancouver, British Columbia, Canada, pages 467--474, Association for Computational Linguistics, 2005
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Tsuruoka, Y. and Tsujii, J., Chunk Parsing Revisited, in: Proceedings of the 9th International Workshop on Parsing Technologies (IWPT 2005), pages 133--140, 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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Tsuruoka, Y. and Tsujii, J., Iterative CKY Parsing for Probabilistic Context-Free Grammars, in: Natural Language Processing - IJCNLP 2004, pages 52-60, Springer-Verlag, 2005
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Uematsu, S., Kim, J.-D. and Tsujii, J., Bridging the Gap between Domain-Oriented and Linguistically-Oriented Semantics, in: Proceedings of BioNLP 2009 Workshop, pages 162--170, 2009
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Uematsu, S. and Tsujii, J., Evaluating Contribution of Deep Syntactic Information to Shallow Semantic Analysis, in: Proceedings of the 11th International Conference on Parsing Technologies (IWPT’09), pages 85--88, 2009
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Unno, Y., Ninomiya, T., Miyao, Y. and Tsujii, J., Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches, in: Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 850--857, Association for Computational Linguistics, 2006
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Usami, Y., Cho, H. -C., Okazaki, N. and Tsujii, J., Automatic Acquisition of Huge Training Data for Bio-Medical Named Entity Recognition, in: Proceedings of the BioNLP 2011 Workshop, pages 65--73, Association for Computational Linguistics, 2011
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V

Vasquez-Rodriguez, L., Cuenca-Jimenez, P. -M., Morales-Esquivel, S. and Alva-Manchego, F., A Benchmark for Neural Readability Assessment of Texts in Spanish, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 188–198, 2022
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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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| 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 | 426-450 | 451-475 | 476-500 | 501-525 | 526-546 |