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Xie, Q., Bishop, J., Tiwari, P. and Ananiadou, S., Pre-trained language models with domain knowledge for biomedical extractive summarization (2022), in: Knowledge-Based Systems, 252(109460)

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Thompson, P., Nawaz, R., McNaught, J. and Ananiadou, S., Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438)

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Rehm, G., Uszkoreit, H., Ananiadou, S., Bel, N., Bieleviciene, A., Borin, L., Branco, A., Budin, G., Calzolari, N., Daelemans, W., Garabik, R., Grobelnik, M., Garcia-Mateo, C., Van Genabith, J., Hajic, J., Hernaez, I., Judge, J., Koeva, S., Krek, S., Krstev, C., Linden, K., Magnini, B., Mariani, J., McNaught, J., Melero, M., Monachini, M., Moreno, A., Odijk, J., Ogrodniczuk, M., Pezik, P., Piperidis, S., Przepiorkowski, A., Rognvaldsson, E., Rosner, M., Pedersen, B., Skadina, I., De Smedt, K., Tadic, M., Thompson, P., Tufis, D., Varadi, T., Vasiljevs, A., Vider, K. and Zabarskaite, J., The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374)

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Tsujii, J. and Ananiadou, S., Thesaurus or Logical Ontology, Which One Do We Need for Text Mining? (2005), in: Language Resources and Evaluation, 39:1(77-90)

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Kazama, J. and Tsujii, J., Maximum Entropy Models with Inequality Constraints: A case study on text categorization (2005), in: Machine Learning, 60:1-3(169-194)

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Wu, X., Matsuzaki, T. and Tsujii, J., Improve Syntax-based Translation Using Deep Syntactic Structures (2010), in: Machine Translation (Special Issue : Pushing the frontiers of SMT)

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Nobata, C., Dobson, P., Iqbal, S. A., Mendes, P., Tsujii, J., Kell, D. B. and Ananiadou, S., Mining Metabolites: Extracting the Yeast Metabolome from the Literature (2011), in: Metabolomics, 7:1(94-101)

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Thew, S., Sutcliffe, A., de Bruijn, O., McNaught, J., Procter, R. and Buchan, I., Supporting Creativity and Appreciation of Uncertainty in Exploring Geo-coded Public Health Data (2010), in: Methods of Information in Medicine, 49

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Zhang, T., Schoene, A and Ananiadou, S., Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46)

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Lambert, B. C., Kontonatsios, G., Mauch, M., Kokkoris, T., Jockers, M., Ananiadou, S. and Leroi, A. M., The pace of modern culture (2020), in: Nature Human Behaviour

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Odbal, G. Z. and Ananiadou, S., Examining and mitigating gender bias in text emotion detection task (2022), in: Neurocomputing, 493(422-434)

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Li, M. and Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

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Tran, T. T., Miwa, M. and Ananiadou, S., Syntactically-Informed Word Representations from Graph Neural Network (2020), in: Neurocomputing, 413(431-443)

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Shardlow, M., Ju., M., Li, M., O'Reilly, C., Iavarone, E., McNaught, J. and Ananiadou, S., A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics

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Wang, K., Stevens, R., Alachram, H., Li, Y., Soldatova, L. N., King, R. D., Ananiadou, S., Schoene, A, Li, M., Christopoulou, F., Ambite, J. L., Matthew, J., Garg, S., Hermjakob, U., Marcu, D., Sheng, E., Beissbarth, T., Wingender, E., Galstyan, A., Gao, X., Chambers, B., Pan, W., Khomtchouk, B. B., Evans, J. A. and Rzhetsky, A., NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding (2021), in: npj systems biology and applications, 7(38)

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The Europe PMC Consortium, Europe PMC: a full-text literature database for the life sciences and platform for innovation (2015), in: Nucleic Acids Research, 43:D1(D1042-D1048)

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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. and 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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Korkontzelos, I. and Ananiadou, S., Term Extraction (2014), in: Oxford Handbook of Computational Linguistics (2nd Ed.)

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Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. and Lindenfors, P., On revolutions (2020), in: Palgrave Communications, 6(4)

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Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., Sasaki, Y., Weissenbacher, D. and McNaught, J., Supporting the Education Evidence Portal via Text Mining (2010), in: Philosophical Transactions of the Royal Society A, 368:1925(3829-3844)

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Sutcliffe, A., Thew, S., de Bruijn, O., Buchan, I., Jarvis, P., McNaught, J. and 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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Thompson, P., Ananiadou, S., Basinas, I., Brinchmann, B. C., Cramer, C., Galea, K. S., Ge, C., Georgiadis, P., Kirkeleit, J., Kuijpers, E., Nguyen, N. T. H., Nuñez, R., Schlünssen, V., Stokholm, Z. A., Taher, E. A., Tinnerberg, H., van Tongeren, M. and Xie, Q., Supporting the working life exposome: Annotating occupational exposure for enhanced literature search (2024), in: PLoS ONE, 19:8(e0307844)

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Swainston, N., Batista-Navarro, R., Carbonel, P., Dobson, P., Dunstan, M., Jervis, A., Vinaixa, M., Williams, A., Ananiadou, S., Faulon, J. L., Mendes, P., Kell, D. B., Scrutton, N. and Breitling, R., biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130)

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Nguyen, N. T. H., Soto, A., Kontonatsios, G., Batista-Navarro, R. and Ananiadou, S., Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277)

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Alnazzawi, N., Thompson, P. and Ananiadou, S., Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource (2016), in: PLOS ONE, 11:9(e0162287)

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