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Lyte, V., Jones, S., Ananiadou, S. und Kerr, L., UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61

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McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W.J., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, L., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, S. J., Kim, J. -H., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, C. J., Stoehr, P. und Vaughan, P., UKPMC: a full text article resource for the life sciences (2010), in: Nucleic Acids Research, 39:Suppl. 1(D58-D65)

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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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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. und Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), Seiten 218-224, 2022

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Sutcliffe, A., Thew, S., de Bruijn, O., Buchan, I., Jarvis, P., McNaught, J. und Procter, R., User Engagement by User-Centred Design in e-Health (2010), in: Philosophical Transactions of the Royal Society A, 368:1926(4209-4224)

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Kontonatsios, G., Korkontzelos, I., Tsujii, J. und Ananiadou, S., Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora, in: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, Association for Computational Linguistics, Gothenburg, Sweden, Seiten 111-116, Association for Computational Linguistics, 2014

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SpasiÄ‡, I. und Ananiadou, S., Using automatically learnt verb selectional preferences for classification of biomedical terms (2004), in: Journal of Biomedical Informatics, 37:6(483--497)

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Kontonatsios, G., Korkontzelos, I., Tsujii, J. und Ananiadou, S., Using Random Forest to recognise translation equivalents of biomedical terms across languages, in: Proceedings of the Sixth Workshop on Building and Using Comparable Corpora, Sofia, Bulgaria, Seiten 95-104, Association for Computational Linguistics, 2013

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O'Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M. und Ananiadou, S., Using text mining for study identification in systematic reviews: A systematic review of current approaches (2015), in: Systematic Reviews, 4:1

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Alnazzawi, N., Thompson, P., Batista-Navarro, R. und Ananiadou, S., Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3)

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Haynes, C., Kay, N., Harrison, K., McLeod, C., Shaw, B., Leng, G., Kontonatsios, G. und Ananiadou, S., Using text mining to facilitate study identification in public health systematic reviews (2016), in: Guidelines International Network (G-I-N) conference

Zerva, C., Batista-Navarro, R., Day, P. J. R. und Ananiadou, S., Using uncertainty to link and rank evidence from biomedical literature for model curation (2017), in: Bioinformatics

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Kolluru, B., Hawizy, L., Murray-Rust, P., Tsujii, J. und Ananiadou, S., Using Workflows to Explore and Optimise Named Entity Recognition for Chemistry (2011), in: PLoS ONE, 6:5(e20181)

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MihÄƒilÄƒ, C. und Ananiadou, S., What causes a causal relation? Detecting causal triggers in biomedical scientific discourse, in: 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, Sofia, Bulgaria, Seiten 38-45, Association for Computational Linguistics, 2013

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MihÄƒilÄƒ, C. und Batista-Navarro, R., What's in a Name? Entity Type Variation across Two Biomedical Subdomains, in: Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, Seiten 38-45, Association for Computational Linguistics, 2012

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Pyysalo, S., SÃ¦tre, R., Tsujii, J. und Salakoski, T., Why Biomedical Relation Extraction Results are Incomparable and What to do about it, in: Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), Seiten 149--152, 2008

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Miwa, M., Pyysalo, S., Ohta, T. und Ananiadou, S., Wide coverage biomedical event extraction using multiple partially overlapping corpora (2013), in: BMC Bioinformatics, 14:175

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Hamulyak, E. N., Brockmeier, A. J., Killas, J. D., Ananiadou, S., Middeldorp, S. und Leroi, A. M., Women’s health in The BMJ: a data science history (2020), in: BMJ Open, 10(e039759)

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Husain, N, Chaudhry, I. B., Taylor, P., Ananiadou, S., Aseem, S., Green, J. und Poppleton, A., Youth Culturally adapted Manual Assisted Problem Solving Training (YCMAP) in Pakistani adolescent with a history of self harm: Protocol for multi-centre clinical and cost effectiveness randomised controlled trial (2022), in: BMJ Open, 12(e056301)

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Yuan, C., Xie, Q. und Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, Seiten 92–102, 2023

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