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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023
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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), pages 1963 - 1974, 2024
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Min, E. and Ananiadou, S., PESTO: A Post-User Fusion Network for Rumour Detection on Social Media, in: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 1-10, 2023
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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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Dang, L. D., Phan, U. T. P. and Nguyen, N. T. H., GENA: A knowledge graph for nutrition and mental health (2023), in: Journal of Biomedical Informatics, 145(10446)
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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature, in: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023, 2023
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Miwa, M. and Ananiadou, S., DISTANT: Distantly Supervised Entity Span Detection and Classification, in: Proceedings of BioNLP 2023, pages 171–177, 2023
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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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