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Alle Publikationen

2023
Liu, B, Schlegel, V., Batista-Navarro, R. und Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Seiten 10846–10858, 2023
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Luo, Z., Xie, Q. und Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, Seiten 1843–1852, 2023
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Yang, K, Zhang, T. und Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)
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Miwa, M. und Ananiadou, S., DISTANT: Distantly Supervised Entity Span Detection and Classification, in: Proceedings of BioNLP 2023, Seiten 171–177, 2023
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Liu, B, Schlegel, V., Batista-Navarro, R. und 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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Dang, L. D., Phan, U. T. P. und 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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Min, E. und 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, Seiten 1-10, 2023
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Yuan, C., Xie, Q. und Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, Seiten 92–102, 2023
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2022
Vasquez-Rodriguez, L., Cuenca-Jimenez, P. -M., Morales-Esquivel, S. und Alva-Manchego, F., A Benchmark for Neural Readability Assessment of Texts in Spanish, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), Seiten 188–198, 2022
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