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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. en 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. en 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. en 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. en 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. en 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. en 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 en 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. en Leroi, A. M., The pace of modern culture (2020), in: Nature Human Behaviour

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

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

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Tran, T. T., Miwa, M. en 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. en 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. en 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. en 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. en 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. en 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. en 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. en 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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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. en 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. en Ananiadou, S., Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277)

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Alnazzawi, N., Thompson, P. en 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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Thompson, P., Batista-Navarro, R., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., Timmermann, C., Worboys, M. en Ananiadou, S., Text Mining the History of Medicine (2016), in: PLOS One, 11:1(e0144717)

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Bollegala, D., Kontonatsios, G. en Ananiadou, S., A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations (2015), in: PLOS ONE, 10:6(e0126196)

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Xu, Y., Hua, J., Ni, Z., Chen, Q., Fan, Y., Ananiadou, S., Chang, E. I-C. en Tsujii, J., Anatomical entity recognition with a hierarchical framework augmented by external resources (2014), in: PLOS ONE, 9:10(e108396)

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