Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Deutsch, English, Nederlands, Norsk, Português, <meer...>

Voornamen:	S.
Achternamen:	Ananiadou

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Thompson, P., Ananiadou, S., Basinas, I., Brinchmann, B. C., Cramer, C., Galea, K. S., Ge, C., Georgiadis, P., Kirkeleit, J., Kuijpers, E., Nguyen, N. T. H., Nuñez, R., Schlünssen, V., Stokholm, Z. A., Taher, E. A., Tinnerberg, H., van Tongeren, M. en Xie, Q., Supporting the working life exposome: Annotating occupational exposure for enhanced literature search (2024), in: PLoS ONE, 19:8(e0307844)

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Yuan, C., Xie, Q. en Ananiadou, S., Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410)

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Luo, Z., Xie, Q. en Ananiadou, S., The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024

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Yu, Z. en Ananiadou, S., Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024

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Yang, K, Zhang, T. en Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pagina's 2917–2927, 2023

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Cao, J., van Veen, E. M., Peek, N., Renehan, A. G en Ananiadou, S., A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge (2023), in: IEEE Journal of Biomedical and Health Informatics, 27:2(1096 - 1105)

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Xie, Q., Luo, Z. en Ananiadou, S., A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023

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Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pagina's 10846–10858, 2023

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Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. en Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, pagina's 468–477, 2023

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Luo, Z., Xie, Q. en Ananiadou, S., ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023

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Luo, Z., Xie, Q. en Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pagina's 1843–1852, 2023

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Yang, K, Zhang, T., Alhuzali, H. en Ananiadou, S., Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)

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Vasilakes, J., Georgiadis, P., Nguyen, N. T. H., Miwa, M. en Ananiadou, S., Contextualized Medication Event Extraction with Levitated Markers (2023), in: Journal of Biomedical Informatics(104347)

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Yang, K, Zhang, T. en 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. en Ananiadou, S., DISTANT: Distantly Supervised Entity Span Detection and Classification, in: Proceedings of BioNLP 2023, pagina's 171–177, 2023

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Ji, S., Zhang, T., Yang, K en Ananiadou, S., Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023

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Zhang, T., Yang, K, Shaoxiong, J. en Ananiadou, S., Emotion fusion for mental illness detection from social media: A survey (2023), in: Information Fusion, 92(231-246)

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Liu, B, Schlegel, V., Batista-Navarro, R. en 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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Cao, J., Peek, N., Renehan, A. G en Ananiadou, S., Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, pagina's 26–36, 2023

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Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. en Ananiadou, S., Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445)

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Xie, Q., Tiwari, P. en Ananiadou, S., Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization (2023), in: IEEE Journal of Biomedical and Health Informatics

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Min, E. en 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, pagina's 1-10, 2023

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Zhang, T., Yang, K, Alhuzali, H., Liu, B en Ananiadou, S., PHQ-aware depressive symptoms identification with similarity contrastive learning on social media (2023), in: Information Processing & Management, 60:5(103417)

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Ji, S., Zhang, T., Yang, K en Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

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Zhang, T., Yang, K en Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pagina's 114–126, 2023

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