Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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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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Cao, J., Peek, N., Renehan, A. G and Ananiadou, S., Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, páginas 26–36, 2023

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Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. and 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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Luo, Z., Liu, L., Xie, Q. and Ananiadou, S., Graph Contrastive Topic Model, arXiv, 2023

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Xie, Q., Tiwari, P. and 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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Yu, Z., Yang, K, Liu, Z. and Ananiadou, S., Locating Factual Knowledge in Large Language Models: Exploring the Residual Stream and Analyzing Subvalues in Vocabulary Space, arXiv, 2023

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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, páginas 1-10, 2023

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

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Shaoxiong, J., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

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Zhang, T., Yang, K and Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, páginas 114–126, 2023

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Nguyen, N. T. H., Miwa, M. and Ananiadou, S., Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, páginas 1984–1996, 2023

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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. and Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, páginas 6056–6077, 2023

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

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Alhuzali, H., Zhang, T. and 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. and 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. and 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. and 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. and 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. and Ananiadou, S., Comparing neural models for nested and overlapping biomedical event detection (2022), in: BMC Bioinformatics, 23(211)

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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Huang, J. and Ananiadou, S., Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media, in: Proceedings of The Web Conference 2022, páginas 1148–1158, 2022

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Saha, T and Ananiadou, S., Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network, in: Proceedings of IJCNN at 2022 IEEE World Congress on Computational Intelligence, páginas 1-8, 2022

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Alhuzali, H., Zhang, T. and Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323)

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Odbal, G. Z. and Ananiadou, S., Examining and mitigating gender bias in text emotion detection task (2022), in: Neurocomputing, 493(422-434)

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Bishop, J., Xie, Q. and Ananiadou, S., GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, páginas 220–240, 2022

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Xie, Q., Huang, J., Saha, T and Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, páginas 6259–6269, 2022

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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-389 |

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