Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

BROWSE
EXPORT
- Export all publications
- Export author
SORT BY
- Author
- Title
- Type/Journal
- Year
- Recently added
SITE
- Help
- About this site
GUEST USER
Guest
LOGIN
Name:

Password:

Deutsch, English, Nederlands, Norsk, Português, <more...>

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

| 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 | 426-442 |

Przybyɫa, P., Brockmeier, A. J. and Ananiadou, S., Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model (2019), in: Journal of the American Medical Informatics Association, 26:6(537â€“546)

[DOI]
[URL]

Brockmeier, A. J., Mu, T., Ananiadou, S. and Goulermas, J. Y, Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61)

[URL]

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, in: Proceedings of ACL 2025, pages 16508–16523, 2025

[DOI]
[URL]

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

[URL]

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

[DOI]

Miwa, M., Thomas, J., O'Mara-Eves, A. and Ananiadou, S., Reducing systematic review workload through certainty-based screening (2014), in: Journal of Biomedical Informatics

[DOI]
[URL]

Schoene, A and Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, pages 6317-6327, 2022

[URL]

Abrar, A., Tabassum Oeshy, N., Kabir, M. and Ananiadou, S., Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies (2025), in: AI & SOCIETY

[DOI]
[URL]

Ji, S., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

[URL]

Xiao, M., Jiang, Z., Qian, L., Chen, Z., He, Y., Xu, Y., Jiang, Y., Li, D., Weng, R. -L., Peng, M., Huang, J., Ananiadou, S. and Xie, Q., Retrieval-augmented Large Language Models for Financial Time Series Forecasting, arXiv, 2025

[URL]

Tran, T. T., Le, P. and Ananiadou, S., Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, pages 7498–7505, 2020

[URL]

Bahor, Z., Liao, J., Macleod, M. R., Bannach-Brown, A., McCann, S. K., Wever, K. E., Thomas, J., Ottavi, T., Howells, D. W., Rice, A., Ananiadou, S. and Sena, E., Risk of bias reporting in the recent animal focal cerebral ischaemia literature (2017), in: Clinical Science, 131:20(2525--2532)

[DOI]
[URL]

Sousselier, L., Roncaglioni, A., Raitano, G., Petoumenou, M., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Paya, E., Olivier, E., Wakx, A., Michel, S., Dufat, H. and Rat, P., Role of in silico tools and text mining in the risk assessment of selected alkaloids (2018), in: Toxicology Letters, 295:Supplement 1(S159)

[URL]

Raitano, G., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Rat, P. and Sousselier, L., Role of in silico tools and text mining in the safety assessment of selected plant coumarins (2017), in: Toxicology Letters, 280:Supplement 1(S96)

[DOI]
[URL]

Liu, Z., Yang, K, Hovy, E. and Ananiadou, S., Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, arXiv, 2025

[URL]

Venkatesan, A., Kim, J. -H., Talo, F., Ide-Smith, M., Gobeill, J., Carter, J., Batista-Navarro, R., Ananiadou, S., Ruch, P. and McEntyre, J. R., SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data [version 2; referees: 2 approved, 1 approved with reservations]. (2017), in: Wellcome Open Res, 1:25

[DOI]
[URL]

Second International Symposium on Semantic Mining in Biomedicine (SMBM), 2006

[URL]

Selected articles from the BioNLP Shared Task 2011, 2012

[URL]

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

[URL]

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), pages 7032–7056, 2025

[DOI]
[URL]

Brockmeier, A. J., Mu, T., Ananiadou, S. and Goulermas, J. Y, Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering

[URL]

Thompson, P., Yates, T., Inan, E. and Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, pages 1983‑1992, 2020

[URL]

Kabir, M., Ahmed, T., Rahman, M. M., Giannouris, P. and Ananiadou, S., Semantic Label Drift in Cross-Cultural Translation, arXiv, 2025

[DOI]
[URL]

Nobata, C., Sasaki, Y., Okazaki, N., Rupp, C. J., Tsujii, J. and Ananiadou, S., Semantic Search on Digital Document Repositories based on Text Mining Results, in: International Conferences on Digital Libraries and the Semantic Web 2009 (ICSD2009), pages 34--48, 2009

attachment

Thompson, P., Carter, J., McNaught, J. and Ananiadou, S., Semantically Enhanced Search System for Historical Medical Archives, in: Proceedings of DigitalHeritage 2015, pages 387 - 390, 2015

[DOI]
[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 | 401-425 | 426-442 |

processing time: 0.0634 seconds.