Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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First name(s):	S.
Last name(s):	Ananiadou

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Piao, S., Buyko, E., Tsuruoka, Y., Tomanek, K., Kim, J.-D., McNaught, J., Hahn, U., Su, J. and Ananiadou, S., BOOTStrep Annotation Scheme: Encoding Information for Text Mining, in: Proceedings of the 4th Corpus Linguistics Conference (CL2007), 2007

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Frantzi, K. and Ananiadou, S., C-value for Authorship Identification, in: Proceedings of the 8th Conference on Forensic Linguistics, Language and Law, International Association of Forensic Linguistics, 2007

Piao, S., Ananiadou, S. and McNaught, J., Integrating Annotation Tools into UIMA for Interoperability, in: Proceedings of the UK e-Science AHM Conference 2007, pages 575--582, 2007

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Piao, S., Ananiadou, S., Tsuruoka, Y., Sasaki, Y. and McNaught, J., Mining Opinion Polarity Relations of Citations, in: Proceedings of the 7th International Workshop on Computational Semantics, pages 366-371, 2007

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Sasaki, Y., Rea, B. and Ananiadou, S., Multi-topic Aspects in Clinical Text Classification, in: BIBM '07: Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine, pages 62--70, IEEE Computer Society, 2007

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Ananiadou, S., Cotter, P., Nobata, C., Okazaki, N., Rea, B., Sasaki, Y., Tsuruoka, Y. and Tsujii, J., SemText: a semantically enriched information retrieval system for biology, in: Proceedings of the 8th International Conference on Systems Biology (ICSB 2007), 2007

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Ananiadou, S., Procter, R., Rea, B., Sasaki, Y. and Thomas, J., Supporting Systematic Reviews using Text Mining, in: Proceedings of the 3rd International Conference on e-Social Science, 2007

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Rea, B. and Ananiadou, S., Text Mining Services to Support E-Research, in: UK e-Science All Hands Meeting, 2007

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Okazaki, N. and Ananiadou, S., Clustering Acronyms in Biomedical Text for Disambiguation, in: Proceedings of Fifth International conference on Language Resources and Evaluation (LREC 2006), pages 959-962, 2006

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Kim, J.-D., Ananiadou, S. and Tsujii, J., Ontology based Semantic Annotation for Knowledge Extraction, in: 2nd International Digital Curation Conference, 2006

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SpasiÄ‡, I. and Ananiadou, S., A flexible measure of contextual similarity for biomedical terms., in: Proceedings of the Pacific Symposium on Biocomputing 10, pages 197--208, 2005

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Tsuruoka, Y., Ananiadou, S. and Tsujii, J., A Machine Learning Approach To Acronym Generation, in: Proceedings of the Workshop On Linking Biological Literature Ontologies And Databases: Mining Biological Semantics (BioLink 2005), pages 25-31, 2005

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NenadiÄ‡, G., Ananiadou, S. and McNaught, J., Enhancing automatic term recognition through recognition of variation, in: Proceedings of COLING 2004, pages 604--610, Association for Computational Linguistics, 2004

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Nghiem, M-. Q., Baylis, P., Freitas, A. and Ananiadou, S., Text Classification and Prediction in the Legal Domain, pages 4717-4722, 2022

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

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Yano, K., Miwa, M. and Ananiadou, S., IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024

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Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. and Beam, A., Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024

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Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. and Xie, Q., No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024

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Xie, Q., Li, D., Xiao, M., Jiang, Y., Xiang, R., Zhang, X., Chen, Z., He, Y., Han, W., Yang, Y., Chen, S., Zhang, Y., Shen, L., Kim, D., Liu, Z., Luo, Z., Yu, Y., Cao, Y., Deng, Z., Yao, Z., Li, H., Feng, D., Dai, Y., Somasundaram, V., Lu, P., Zhao, Y., Long, Y., Xiong, G., Smith, K., Yu, H., Lai, Y., Peng, M., Nie, J., Suchow, J., Liu, X. -Y., Wang, B., Lopez-Lira, A., Huang, J. and Ananiadou, S., Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications, arXiv, 2024

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Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. and 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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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. and Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024

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

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

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

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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 | 376-400 | 401-407 |

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