Ananiadou, S. - NaCTeM Publications

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

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Zhang, T., Yang, K and Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pages 114–126, 2023

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Kano, Y., Nguyen, N. T. H., SÃ¦tre, R., Fukamachi, K., Yoshida, K., Miyao, Y., Tsuruoka, Y., Ananiadou, S. and Tsujii, J., Sharable type system design for tool inter-operability and combinatorial comparison, in: Proceedings of the First International Conference on Global Interoperability for Language Resources (ICGL), pages 122--129, 2008

Williams, J., Matragkas, N., Kolovos, D. S., Korkontzelos, I., Ananiadou, S. and Paige, R. F., Software Analytics for MDE Communities, in: Proceedings of the Open Source Software for Model Driven Engineering Workshop (OSS4MDEâ€™14), 2014

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Nawaz, R., Thompson, P. and Ananiadou, S., Something old, something new: identifying knowledge source in bio-events (2013), in: International Journal of Computational Linguistics and Applications, 4:1(129-144)

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Nguyen, N. T. H., Miwa, M. and Ananiadou, S., Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, pages 1984–1996, 2023

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Alhuzali, H. and Ananiadou, S., SpanEmo: Casting Multi-label Emotion Classification as Span-prediction, in: Proceedings 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), pages 1573–1584, 2021

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Tsuruoka, Y., Tsujii, J. and Ananiadou, S., Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty, in: ACL-IJCNLP 2009, pages 477--485, 2009

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Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. and Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), pages 1136 - 1141, 2024

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Ananiadou, S. and Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, pages 59-73, Springer, 2017

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Thompson, P., Boylan, K., Freemont, A. and Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017

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Ananiadou, S., Weissenbacher, D., Rea, B., Pieri, E., Lin, Y., Vis, F., Procter, R. and Halfpenny, P., Supporting Frame Analysis using Text Mining, in: Proceedings of the 5th International Conference on e-Social Science, 2009

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Mo, Y., Kontonatsios, G. and Ananiadou, S., Supporting Systematic Reviews Using LDA-based Document Representations (2015), in: Systematic Reviews, 4(172)

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Ananiadou, S., Okazaki, N., Procter, R., Rea, B. and Thomas, J., Supporting Systematic Reviews using Text Mining (2009), in: Social Science Computer Review, 27:4(509-523)

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Ananiadou, S., Procter, R., Rea, B., Sasaki, Y. and Thomas, J., Supporting Systematic Reviews using Text Mining, in: Proceedings of the 3rd International Conference on e-Social Science, 2007

Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., Sasaki, Y., Weissenbacher, D. and McNaught, J., Supporting the Education Evidence Portal via Text Mining (2010), in: Philosophical Transactions of the Royal Society A, 368:1925(3829-3844)

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Thompson, P., Ananiadou, S., Basinas, I., Brinchmann, B. C., Cramer, C., Galea, K. S., Ge, C., Georgiadis, P., Kirkeleit, J., Kuijpers, E., Nguyen, N. T. H., Nuñez, R., Schlünssen, V., Stokholm, Z. A., Taher, E. A., Tinnerberg, H., van Tongeren, M. and Xie, Q., Supporting the working life exposome: Annotating occupational exposure for enhanced literature search (2024), in: PLoS ONE, 19:8(e0307844)

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Tran, T. T., Miwa, M. and Ananiadou, S., Syntactically-Informed Word Representations from Graph Neural Network (2020), in: Neurocomputing, 413(431-443)

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Yuan, C., Xie, Q. and Ananiadou, S., Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410)

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Korkontzelos, I. and Ananiadou, S., Term Extraction (2014), in: Oxford Handbook of Computational Linguistics (2nd Ed.)

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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)

Nghiem, M-. Q., Baylis, P., Freitas, A. and Ananiadou, S., Text Classification and Prediction in the Legal Domain, pages 4717-4722, 2022

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Ananiadou, S., Kell, D. B. and Tsujii, J., Text mining and its potential applications in systems biology (2006), in: Trends in Biotechnology, 24:12(571 - 579)

SpasiÄ‡, I., Ananiadou, S., McNaught, J. and Kumar, A., Text mining and ontologies in biomedicine: making sense of raw text. (2005), in: Briefings in Bioinformatics, 6:3(239--251)

Text Mining for Biology And Biomedicine, Artech House, Inc., 2006

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