Ananiadou, S. - NaCTeM Publications

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Vorname(n):	S.
Nachname(n):	Ananiadou

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Liu, Z., Liu, B, Thompson, P., Yang, K und Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), 2024

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Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. und Hovy, E., RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, arXiv, 2024

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Liu, Z., Yang, K, Zhang, T., Xie, Q., Yu, Z. und Ananiadou, S., EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, in: Proceedings of KDD 2024, Seiten 5487 - 5496, 2024

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Liu, Z., Zhang, T., Yang, K, Thompson, P., Yu, Z. und Ananiadou, S., Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300)

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Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. und Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024

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Luo, Z., Liu, L., Ananiadou, S. und Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)

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

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Luo, Z., Xie, Q. und Ananiadou, S., Factual consistency evaluation of summarization in the Era of large language models (2024), in: Expert Systems with Applications, 254(124456)

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

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Luo, Z., Xie, Q. und Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, Seiten 4667–4680, 2022

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Luo, Z., Yuan, C., Xie, Q. und Ananiadou, S., Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024

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Lyte, V., Jones, S., Ananiadou, S. und Kerr, L., UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61

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Matsuoka, Y., Ghosh, S., Kikuchi, N., SÃ¦tre, R., Kemper, B., Okazaki, N., Ananiadou, S., Tsujii, J. und Kitano, H., Community Platform for Pathway Model Building, in: 10th International Conference on Systems Biology, Seiten 139-140, Stanford University, 2009

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McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W.J., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, L., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, S. J., Kim, J. -H., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, C. J., Stoehr, P. und Vaughan, P., UKPMC: a full text article resource for the life sciences (2010), in: Nucleic Acids Research, 39:Suppl. 1(D58-D65)

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Meziane, F., Athanasakis, N. und Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

MihÄƒilÄƒ, C. und Ananiadou, S., The Meta-knowledge of Causality in Biomedical Scientific Discourse, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, Seiten 1984-1991, European Language Resources Association (ELRA), 2014

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MihÄƒilÄƒ, C. und Ananiadou, S., Semi-supervised learning of causal relations in biomedical scientific discourse (2014), in: BioMedical Engineering OnLine, 13:Suppl 2(S1)

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MihÄƒilÄƒ, C. und Ananiadou, S., What causes a causal relation? Detecting causal triggers in biomedical scientific discourse, in: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, Sofia, Bulgaria, Seiten 38-45, Association for Computational Linguistics, 2013

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MihÄƒilÄƒ, C. und Ananiadou, S., Recognising Discourse Causality Triggers in the Biomedical Domain (2013), in: Journal of Bioinformatics and Computational Biology, 11:6(1343008)

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MihÄƒilÄƒ, C. und Ananiadou, S., A Hybrid Approach to Recognising Discourse Causality in the Biomedical Domain, in: Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2013, Shanghai, China, Seiten 361-366, IEEE, 2013

MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. und Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, Seiten 251-308, CRC Press, 2015

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MihÄƒilÄƒ, C., Batista-Navarro, R. und Ananiadou, S., Analysing Entity Type Variation across Biomedical Subdomains, in: Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012), Istanbul, Turkey, Seiten 1-7, 2012

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MihÄƒilÄƒ, C., Kontonatsios, G., Batista-Navarro, R., Thompson, P., Korkontzelos, I. und Ananiadou, S., Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA, in: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, Association for Computational Linguistics, Sofia, Bulgaria, Seiten 79-88, 2013

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MihÄƒilÄƒ, C., Ohta, T., Pyysalo, S. und Ananiadou, S., BioCause: Annotating and Analysing Causality in the Biomedical Domain (2013), in: BMC Bioinformatics, 14:1(2)

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