Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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

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Piao, S., Buyko, E., Tsuruoka, Y., Tomanek, K., Kim, J.-D., McNaught, J., Hahn, U., Su, J. und 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. und 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. und McNaught, J., Integrating Annotation Tools into UIMA for Interoperability, in: Proceedings of the UK e-Science AHM Conference 2007, Seiten 575--582, 2007

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

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

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Ananiadou, S., Cotter, P., Nobata, C., Okazaki, N., Rea, B., Sasaki, Y., Tsuruoka, Y. und 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. und 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. und Ananiadou, S., Text Mining Services to Support E-Research, in: UK e-Science All Hands Meeting, 2007

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

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

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

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Tsuruoka, Y., Ananiadou, S. und 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), Seiten 25-31, 2005

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

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Nghiem, M-. Q., Baylis, P., Freitas, A. und Ananiadou, S., Text Classification and Prediction in the Legal Domain, Seiten 4717-4722, 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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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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Yano, K., Miwa, M. und 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. und 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. und 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. und 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. 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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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. und Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024

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

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

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