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Thompson, P., Kano, Y., McNaught, J., Pettifer, S., Attwood, T. K., Keane, J. und Ananiadou, S., Promoting Interoperability of Resources in META-SHARE, in: Proceedings of the IJCNLP Workshop on Language Resources, Technology and Services in the Sharing Paradigm (LRTS), Seiten 50-58, 2011

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Miwa, M., SÃ¦tre, R., Miyao, Y. und Tsujii, J., Protein-Protein Interaction Extraction by Leveraging Multiple Kernels and Parsers (2009), in: International Journal of Medical Informatics, 78:12(e39--e46)

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Mu, T., Goulermas, J. Y, Tsujii, J. und Ananiadou, S., Proximity-based Frameworks for Generating Embeddings from Multi-Output Data (2012), in: IEEE Transactions on Pattern Analysis and Machine Intelligence

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Mu, T. und Ananiadou, S., Proximity-based graph embeddings for multi-label classification, in: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR 2010), 2010

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BjÃ¶rne, J., Van Landeghem, S., Pyysalo, S., Ohta, T., Ginter, F., Van de Peer, Y., Ananiadou, S. und Salakoski, T., PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations, in: Proceedings of BioNLP 2012, Seiten 82-90, 2012

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Przybyɫa, P., Brockmeier, A. J. und 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(537â€“546)

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Brockmeier, A. J., Mu, T., Ananiadou, S. und Goulermas, J. Y, Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61)

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Luo, Z., Xie, Q. und Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, Seiten 4667–4680, 2022

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MihÄƒilÄƒ, C. und Ananiadou, S., Recognising Discourse Causality Triggers in the Biomedical Domain (2013), in: Journal of Bioinformatics and Computational Biology, 11:6(1343008)

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Miwa, M., Thomas, J., O'Mara-Eves, A. und Ananiadou, S., Reducing systematic review workload through certainty-based screening (2014), in: Journal of Biomedical Informatics

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Schoene, A und Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, Seiten 6317-6327, 2022

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Thew, S., Sutcliffe, A., Procter, R., de Bruijn, O., McNaught, J., Venters, C.C. und Buchan, I., Requirements Engineering for E-science: Experiences in Epidemiology (2009), in: IEEE Software, 26:1(80-87)

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Yoshida, K. und Tsujii, J., Reranking for Biomedical Named-Entity Recognition, in: Proceedings of BioNLP 2007: Biological, translational, and clinical language processing, Seiten 209--216, 2007

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Shaoxiong, J., Zhang, T., Yang, K und Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

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Tran, T. T., Le, P. und Ananiadou, S., Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, Seiten 7498–7505, 2020

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Bahor, Z., Liao, J., Macleod, M. R., Bannach-Brown, A., McCann, S. K., Wever, K. E., Thomas, J., Ottavi, T., Howells, D. W., Rice, A., Ananiadou, S. und Sena, E., Risk of bias reporting in the recent animal focal cerebral ischaemia literature (2017), in: Clinical Science, 131:20(2525--2532)

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Sun, X., Okazaki, N. und Tsujii, J., Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information, in: Proceedings of ACL-IJCNLP 2009, Seiten 905--913, 2009

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Sousselier, L., Roncaglioni, A., Raitano, G., Petoumenou, M., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Paya, E., Olivier, E., Wakx, A., Michel, S., Dufat, H. und Rat, P., Role of in silico tools and text mining in the risk assessment of selected alkaloids (2018), in: Toxicology Letters, 295:Supplement 1(S159)

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Raitano, G., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Rat, P. und Sousselier, L., Role of in silico tools and text mining in the safety assessment of selected plant coumarins (2017), in: Toxicology Letters, 280:Supplement 1(S96)

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Venkatesan, A., Kim, J. -H., Talo, F., Ide-Smith, M., Gobeill, J., Carter, J., Batista-Navarro, R., Ananiadou, S., Ruch, P. und McEntyre, J. R., SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data [version 2; referees: 2 approved, 1 approved with reservations]. (2017), in: Wellcome Open Res, 1:25

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Second International Symposium on Semantic Mining in Biomedicine (SMBM), 2006

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Selected articles from the BioNLP Shared Task 2011, 2012

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Brockmeier, A. J., Mu, T., Ananiadou, S. und Goulermas, J. Y, Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering

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Thompson, P., Yates, T., Inan, E. und Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, Seiten 1983‑1992, 2020

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Miyao, Y., Ohta, T., Masuda, K., Tsuruoka, Y., Yoshida, K., Ninomiya, T. und Tsujii, J., Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases, in: Proceedings of COLING-ACL 2006, Seiten 1017--1024, 2006

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