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

Publications of Ananiadou, S. sorted by title
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Luo, Z., Liu, L., Ananiadou, S. and Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)
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Wang, Y., Feng, D., Dai, Y., Chen, Z., Huang, J., Ananiadou, S., Xie, Q. and Wang, H., HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
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Tekiner, F., Ananiadou, S., Tsuruoka, Y. and Tsujii, J., Highly Scalable Text Mining Parallel Tagging Application, in: Proceedings of ICSSCW2009, Famgusta, Cyprus, 2009
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Yu, Z. and Ananiadou, S., How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3281–3292, 2024
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Sasaki, Y., Tsuruoka, Y., McNaught, J. and Ananiadou, S., How to Make the Most of NE Dictionaries in Statistical NER, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), pages 63--70, Association for Computational Linguistics, 2008
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Inan, E., Thompson, P., Yates, T. and Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pages 514-519, 2021
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Nawaz, R., Thompson, P. and Ananiadou, S., Identification of Manner in Bio-Events, in: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), pages 3505-3510, 2012
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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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Hirohata, K., Okazaki, N., Ananiadou, S. and Ishizuka, M., Identifying Sections in Scientific Abstracts using Conditional Random Fields, in: Proceedings of the 3rd International Joint Conference on Natural Language Processing (IJCNLP 2008), pages 381-388, 2008
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Mu, T., Wang, X., Tsujii, J. and Ananiadou, S., Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation, in: Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), pages 851-859, 2010
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Wang, Y., Ananiadou, S. and Tsujii, J., Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018
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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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Brockmeier, A. J., Ju., M., Przybyɫa, P. and Ananiadou, S., Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256)
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Ananiadou, S., Thompson, P. and Nawaz, R., Improving Search Through Event-based Biomedical Text Mining, in: Proceedings of the 1st Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts (AMICUS) workshop, 2010
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Kano, Y., McCrochon, L., Ananiadou, S. and Tsujii, J., Integrated NLP Evaluation System for Pluggable Evaluation Metrics with Extensive Interoperable Toolkit, in: Proceedings of the NAACL HLT Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing, pages 22--30, 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 | 426-429 |