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Y

Yang, K, Zhang, T. and Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)
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Yoshida, K. and Tsujii, J., Reranking for Biomedical Named-Entity Recognition, in: Proceedings of BioNLP 2007: Biological, translational, and clinical language processing, pages 209--216, 2007
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Yoshida, K., Tsuruoka, Y., Miyao, Y. and Tsujii, J., Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers, in: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), pages 1783-1788, 2007
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Yu, K., Miyao, Y., Matsuzaki, T., Wang, X., Zhang, Y., Uchimoto, K. and Tsujii, J., Comparison of Chinese Treebanks for Corpus-oriented HPSG Grammar Development (2010), in: Journal of Natural Language Processing (Special Issue on Empirical Methods for Asian Language Processing)
Yu, K. and Tsujii, J., Bilingual Dictionary Extraction from Wikipedia, in: Proceedings of Machine Translation Summit XII, 2009
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Yuan, C., Xie, Q. and Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pages 92–102, 2023
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Z

Zerva, C. and Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pages 6-20, 2018
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Zerva, C. and Ananiadou, S., Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora, in: Proceedings of the 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015), pages 31-41, 2015
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Zervanou, K., Korkontzelos, I., van den Bosch, A. and Ananiadou, S., Enrichment and Structuring of Archival Description Metadata, in: Proceedings of the 5th ACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 44-53, 2011
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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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