All publications sorted by title


P

Peng, X., Papadopoulos, T., Soufleri, E., Giannouris, P., Xiang, R., Wang, Y., Qian, L., Huang, J., Xie, Q. and Ananiadou, S., Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 30176–30202, 2025
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Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pages 117--125, Association for Computational Linguistics, 2017
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Matsuzaki, T., Miyao, Y. and Tsujii, J., Probabilistic CFG with Latent Annotations, in: Proceedings of ACL 2005, pages 75--82, 2005
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Matsuzaki, T., Miyao, Y. and Tsujii, J., Probabilistic Context-Free Grammars with Latent Annotations, in: Supertagging - Using Complex Lexical Descriptions in Natural Language Processing, pages 337--354, MIT Press, 2010
Miyao, Y. and Tsujii, J., Probabilistic disambiguation models for wide-coverage HPSG parsing, in: Proceedings of ACL 2005, pages 83--90, 2005
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Thompson, P., Kano, Y., McNaught, J., Pettifer, S., Attwood, T. K., Keane, J. and 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), pages 50-58, 2011
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Miwa, M., Sætre, R., Miyao, Y. and 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. and 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. and 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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Q

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

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