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

Publikationen von Ananiadou, S. sortiert nach Zeitschrift und Typ
| 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 |


Publikationen vom Typ Incollection


2013

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

2012

Ananiadou, S., McNaught, J. und Thompson, P., The English Language in the Digital Age, in: White Paper Series, Springer, 2012
[URL]

2006

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

2005

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

2004

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

Publikationen vom Typ Inproceedings


In Press

Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. und 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), In Press

2024

Yuan, C., Xie, Q., Huang, J. und 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), Seiten 1963 - 1974, 2024
[URL]
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
[DOI]
[URL]
Zhang, X., Xiang, R., Yuan, C., Feng, D., Han, W., Lopez-Lira, A., Liu, X. -Y., Ananiadou, S., Peng, M., Huang, J. und Xie, Q., Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English, in: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), Seiten 6236-6246, 2024
[DOI]
[URL]
Xie, Q., Huang, J., Li, D., Chen, Z., Xiang, R., Xiao, M., Yu, Y., Somasundaram, V., Yang, K, Yuan, C., Luo, Z., Liu, Z., He, Y., Jiang, Y., Li, H., Feng, D., Liu, X. -Y., Wang, B., Wang, H., Lai, Y., Suchow, J., Lopez-Lira, A., Peng, M. und Ananiadou, S., FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models - FinLLMs, in: Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, Seiten 119- 126, 2024
[URL]
Wang, Y., Feng, D., Dai, Y., Chen, Z., Huang, J., Ananiadou, S., Xie, Q. und Wang, H., HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[URL]
Yu, Z. und Ananiadou, S., How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3281–3292, 2024
[DOI]
[URL]
Yu, Z. und Ananiadou, S., Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3293–3306, 2024
[DOI]
[URL]
Yang, K, Liu, Z., Xie, Q., Huang, J., Zhang, T. und Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[URL]
Yu, Z. und Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3267–3280, 2024
[DOI]
[URL]
Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. und Lin, C., Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles, in: Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, Seiten 468-477, 2024
[DOI]
[URL]
Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. und Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), Seiten 1136 - 1141, 2024
[URL]
| 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 |