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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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Dang, L. D., Phan, U. T. P. en 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., 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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Nguyen, N. T. H., Miwa, M. en Ananiadou, S., Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, pagina's 1984–1996, 2023

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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. en Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pagina's 6056–6077, 2023

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Yuan, C., Xie, Q. en Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pagina's 92–102, 2023

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Vasquez-Rodriguez, L., Cuenca-Jimenez, P. -M., Morales-Esquivel, S. en 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), pagina's 188–198, 2022

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Alhuzali, H., Zhang, T. en Ananiadou, S., A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research

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Yang, K, Zhang, T. en Ananiadou, S., A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media (2022), in: Information Processing and Management, 59:4(102961)

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Schoene, A, Basinas, I., van Tongeren, M. en Ananiadou, S., A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome (2022), in: Int. J. Environ. Res. Public Health, 19:14(8544)

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Trieu, H-L., Miwa, M. en Ananiadou, S., BioVAE: a pre-trained latent variable language model for biomedical text mining (2022), 38:3(872-874)

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Schoene, A, Bojanic, L., Nghiem, M-. Q., Hunt, I. M. en Ananiadou, S., Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks (2022), in: IEEE Transactions on Affective Computing(1-12)

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Espinosa, K., Georgiadis, P., Christopoulou, F., Ju., M., Miwa, M. en Ananiadou, S., Comparing neural models for nested and overlapping biomedical event detection (2022), in: BMC Bioinformatics, 23(211)

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