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Okazaki, N. and Ananiadou, S., Clustering Acronyms in Biomedical Text for Disambiguation, in: Proceedings of Fifth International conference on Language Resources and Evaluation (LREC 2006), pages 959-962, 2006
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Okazaki, N., Ishizuka, M. and Tsujii, J., A Discriminative Approach to Japanese Abbreviation Extraction, in: Proceedings of the Third International Joint Conference on Natural Language Processing (2008), pages 889-894, 2008
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Okazaki, N., Tsuruoka, Y., Ananiadou, S. and Tsujii, J., A Discriminative Candidate Generator for String Transformations, in: Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), pages 447-456, 2008
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Piao, S., Ananiadou, S. and McNaught, J., Integrating Annotation Tools into UIMA for Interoperability, in: Proceedings of the UK e-Science AHM Conference 2007, pages 575--582, 2007
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Piao, S., Ananiadou, S., Tsuruoka, Y., Sasaki, Y. and McNaught, J., Mining Opinion Polarity Relations of Citations, in: Proceedings of the 7th International Workshop on Computational Semantics, pages 366-371, 2007
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Piao, S., McNaught, J. and Ananiadou, S., Clustering Related Terms with Definitions, in: Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008), pages 2013-2019, European Language Resources Association (ELRA), 2008
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Piao, S., Rea, B., McNaught, J. and 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, pages 301-302, 2009
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Piao, S., Tsuruoka, Y. and Ananiadou, S., Sentiment Analysis with Knowledge Resource and NLP Tools (2009), in: The International Journal of Interdisciplinary Social Sciences, 4:5(17--28)
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Piliouras, D., Korkontzelos, I., Dowsey, A. and Ananiadou, S., Dealing with data sparsity in Drug Named Entity Recognition, in: Proceedings of IEEE International Conference on Healthcare Informatics, Philadelhia, PA, pages 14-21, 2013
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Przybyɫa, P., Brockmeier, A. J. and Ananiadou, S., Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model (2019), in: Journal of the American Medical Informatics Association, 26:6(537–546)
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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. and Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)
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Przybyɫa, P., Soto, A. and Ananiadou, S., Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017
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Pyysalo, S., Ohta, T. and Ananiadou, S., Overview of the Cancer Genetics (CG) task of BioNLP Shared Task 2013, in: Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, Bulgaria, pages 58-66, Association for Computational Linguistics, 2013
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Pyysalo, S., Ohta, T. and Ananiadou, S., Anatomical Entity Recognition with Open Biomedical Ontologies, in: Proceedings of the Fourth International Symposium on Languages in Biology and Medicine (LBM 2011), 2011
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Pyysalo, S., Ohta, T., Miwa, M. and Tsujii, J., Towards Exhaustive Event Extraction for Protein Modifications, in: Proceedings of the BioNLP 2011 Workshop, pages 114--123, Association for Computational Linguistics, 2011
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