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

Publications of Ananiadou, S. sorted by journal and type
| 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 | 401-425 | 426-429 |


Publications of type Incollection


2013

Ananiadou, S., Thompson, P. and Nawaz, R., Enhancing Search: Events and their Discourse Context, in: Computational Linguistics and Intelligent Text Processing, pages 318-334, Springer, 2013
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Batista-Navarro, R., Kontonatsios, G., Mihăilă, C., Thompson, P., Rak, R., Nawaz, R., Korkontzelos, I. and Ananiadou, S., Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform, in: Computational Linguistics and Intelligent Text Processing, pages 559-571, Springer Berlin Heidelberg, 2013
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2012

Ananiadou, S., McNaught, J. and Thompson, P., The English Language in the Digital Age, in: White Paper Series, Springer, 2012
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2006

Ananiadou, S. and Nenadić, G., Automatic Terminology Management in Biomedicine, in: Text Mining for Biology and Biomedicine, pages 67--98, Artech House, Inc., 2006
Kim, J.-D. and Tsujii, J., Corpora and their Annotation, in: Text Mining for Biology and Biomedicine, Artech House, 2006
Ananiadou, S. and McNaught, J., Introduction to Text Mining in Biology, in: Text Mining for Biology and Biomedicine, pages 1--12, Artech House, Inc., 2006

2005

Tsuruoka, Y., Tateisi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S. and Tsujii, J., Developing a Robust Part-of-Speech Tagger for Biomedical Text, in: Advances in Informatics - 10th Panhellenic Conference on Informatics, pages 382--392, Springer-Verlag, 2005
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Nenadić, G., Spasić, I. and Ananiadou, S., Mining Biomedical Abstracts: What’s in a Term?, in: Natural Language Processing – IJCNLP 2004, Springer-Verlag, 2005
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2004

Spasić, I., Nenadić, G. and Ananiadou, S., Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning – IDEAL 2004, pages 345--351, Springer-Verlag, 2004
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Publications of type Inproceedings


In Press

Yu, Z., Belinkov, Y. and Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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Kabir, M., Abrar, A. and Ananiadou, S., Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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Liu, Z., Thompson, P., Rong, J. and Ananiadou, S., ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories, in: Proceedings of the 14th Conference on Prestigious Applications of Intelligent Systems (PAIS-2025), In Press
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Kabir, M., Tahsin, T. and Ananiadou, S., From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modelin, in: Findings of the Association for Computational Linguistics: EMNLP 2025, In Press
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Yu, Z. and Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press
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Peng, X., Papadopoulos, T., Soufleri, E., Giannouris, P., Xiang, R., Wang, Y., Qian, L., Huang, J., Xie, Q. and Ananiadou, S., Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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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, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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Zhang, X., Wei, Q., Zhu, Y., Wu, F. and Ananiadou, S., THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press
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2025

Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. and Tsujii, J., ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain, in: Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pages 4670–4688, 2025
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Luo, Z., Yuan, C., Xie, Q. and Ananiadou, S., EMPEC: A Comprehensive Benchmark for Evaluating Large Language Models Across Diverse Healthcare Professions, in: Findings of the Association for Computational Linguistics: ACL 2025, pages 9945–9958, 2025
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Soufleri, E. and Ananiadou, S., Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals, in: Proceedings of the 24th Workshop on Biomedical Language Processing (BioNLP), pages 34–43, 2025
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Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. and Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), pages 271–276, 2025
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Zhang, X., Wei, Q., Zhu, Y., Zhang, L., Zhou, D. and Ananiadou, S., SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling, in: Findings of the Association for Computational Linguistics: ACL 2025, pages 16338–16356, 2025
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2024

Yuan, C., Xie, Q., Huang, J. and Ananiadou, S., Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), pages 1963 - 1974, 2024
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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 | 401-425 | 426-429 |