Ananiadou, S. - NaCTeM Publications

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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Luo, Z., Yuan, C., Xie, Q. and Ananiadou, S., Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024

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Lyte, V., Jones, S., Ananiadou, S. and Kerr, L., UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61

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Matsuoka, Y., Ghosh, S., Kikuchi, N., SÃ¦tre, R., Kemper, B., Okazaki, N., Ananiadou, S., Tsujii, J. and Kitano, H., Community Platform for Pathway Model Building, in: 10th International Conference on Systems Biology, páginas 139-140, Stanford University, 2009

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McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W.J., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, L., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, S. J., Kim, J. -H., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, C. J., Stoehr, P. and Vaughan, P., UKPMC: a full text article resource for the life sciences (2010), in: Nucleic Acids Research, 39:Suppl. 1(D58-D65)

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Meziane, F., Athanasakis, N. and Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

MihÄƒilÄƒ, C. and Ananiadou, S., The Meta-knowledge of Causality in Biomedical Scientific Discourse, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, páginas 1984-1991, European Language Resources Association (ELRA), 2014

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MihÄƒilÄƒ, C. and Ananiadou, S., Semi-supervised learning of causal relations in biomedical scientific discourse (2014), in: BioMedical Engineering OnLine, 13:Suppl 2(S1)

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MihÄƒilÄƒ, C. and Ananiadou, S., What causes a causal relation? Detecting causal triggers in biomedical scientific discourse, in: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, Sofia, Bulgaria, páginas 38-45, Association for Computational Linguistics, 2013

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MihÄƒilÄƒ, C. and 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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MihÄƒilÄƒ, C. and Ananiadou, S., A Hybrid Approach to Recognising Discourse Causality in the Biomedical Domain, in: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2013, Shanghai, China, páginas 361-366, IEEE, 2013

MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. and Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, páginas 251-308, CRC Press, 2015

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MihÄƒilÄƒ, C., Batista-Navarro, R. and Ananiadou, S., Analysing Entity Type Variation across Biomedical Subdomains, in: Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012), Istanbul, Turkey, páginas 1-7, 2012

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MihÄƒilÄƒ, C., Kontonatsios, G., Batista-Navarro, R., Thompson, P., Korkontzelos, I. and Ananiadou, S., Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA, in: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, Association for Computational Linguistics, Sofia, Bulgaria, páginas 79-88, 2013

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MihÄƒilÄƒ, C., Ohta, T., Pyysalo, S. and Ananiadou, S., BioCause: Annotating and Analysing Causality in the Biomedical Domain (2013), in: BMC Bioinformatics, 14:1(2)

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Mima, H., Ananiadou, S. and Matsushima, K., Terminology-Based Knowledge Mining for New Knowledge Discovery (2006), in: ACM Transactions on Asian Language Information Processing (TALIP), 5:1(74--88)

Min, E. and Ananiadou, S., PESTO: A Post-User Fusion Network for Rumour Detection on Social Media, in: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, páginas 1-10, 2023

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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, Y., Da, L., Lin, K., Ananiadou, S. and Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, páginas 353-362, 2022

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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, Y., Huang, J. and Ananiadou, S., Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media, in: Proceedings of The Web Conference 2022, páginas 1148–1158, 2022

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Miwa, M. and Ananiadou, S., DISTANT: Distantly Supervised Entity Span Detection and Classification, in: Proceedings of BioNLP 2023, páginas 171–177, 2023

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Miwa, M. and Ananiadou, S., Adaptable, high recall, event extraction system with minimal configuration (2015), in: BMC Bioinformatics, 16:Suppl 10.(S7)

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Miwa, M. and Ananiadou, S., NaCTeM EventMine for BioNLP 2013 CG and PC tasks, in: Proceedings of BioNLP Shared Task 2013 Workshop, Sofia, Bulgaria, páginas 94-98, Association for Computational Linguistics, 2013

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Miwa, M., Ohta, T., Rak, R., Rowley, A., Kell, D. B., Pyysalo, S. and Ananiadou, S., A method for integrating and ranking the evidence for biochemical pathways by mining reactions from text (2013), in: Bioinformatics, 29:13(i44-i52)

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Miwa, M., Pyysalo, S., Ohta, T. and Ananiadou, S., Wide coverage biomedical event extraction using multiple partially overlapping corpora (2013), in: BMC Bioinformatics, 14:175

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

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Miwa, M., Thompson, P. and Ananiadou, S., Boosting automatic event extraction from the literature using domain adaptation and coreference resolution (2012), in: Bioinformatics, 28:13(1759-1765)

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