All publications sorted by title


H

Tekiner, F., Ananiadou, S., Tsuruoka, Y. and Tsujii, J., Highly Scalable Text Mining Parallel Tagging Application, in: Proceedings of ICSSCW2009, Famgusta, Cyprus, 2009
[URL]
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
[DOI]
[URL]
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
attachment
Sagae, K., Miyao, Y. and Tsujii, J., HPSG parsing with shallow dependency constraints, in: Proceedings of the 44th Meeting of the Association for Computational Linguistics, pages 624--631, 2007
attachment
Zhang, Y., Matsuzaki, T. and Tsujii, J., HPSG Supertagging: A Sequence Labeling View, in: Proceedings of 11th International Conference on Parsing Technology (IWPT'09), pages 210--213, 2009
[URL]
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
[URL]

I

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
[URL]
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
[URL]
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
attachment
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
[URL]
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
[URL]
Wu, X., Matsuzaki, T. and Tsujii, J., Improve Syntax-based Translation Using Deep Syntactic Structures (2010), in: Machine Translation (Special Issue : Pushing the frontiers of SMT)
[DOI]
[URL]
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
attachment
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)
[DOI]
[URL]
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
attachment
Wang, Y., Kim, J.-D., Sætre, R., Pyysalo, S., Ohta, T. and Tsujii, J., Improving the Inter-corpora Compatibility for Protein Annotations (2010), in: Journal of Bioinformatics and Computational Biology (JBCB), 8:5(901-916)
[DOI]