Todas as publicações sorted by author


Y

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), páginas 1783-1788, 2007
attachment
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., Extracting Bilingual Dictionary from Comparable Corpora with Dependency Heterogeneity, in: Proceedings of NAACL-HLT 2009, páginas 121--124, 2009
[URL]
Yu, K. and Tsujii, J., Bilingual Dictionary Extraction from Wikipedia, in: Proceedings of Machine Translation Summit XII, 2009
[URL]
Yu, Z. and Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, páginas 7065–7078, 2025
[DOI]
[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, páginas 3281–3292, 2024
[DOI]
[URL]
Yu, Z. and Ananiadou, S., Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, páginas 3293–3306, 2024
[DOI]
[URL]
Yu, Z. and Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, páginas 3267–3280, 2024
[DOI]
[URL]
Yu, Z., Belinkov, Y. and Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), páginas 11257–11272, 2025
[DOI]
[URL]
Yuan, C., Xie, Q. and Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, páginas 92–102, 2023
[URL]
Yuan, C., Xie, Q., Huang, J. and Ananiadou, S., Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), páginas 1963 - 1974, 2024
[URL]

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), páginas 6-20, 2018
[URL]
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), páginas 31-41, 2015
[URL]
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, páginas 44-53, 2011
[URL]