Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Voornamen:	S.
Achternamen:	Ananiadou

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Hashimoto, K., Kontonatsios, G., Miwa, M. en Ananiadou, S., Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59â€“65)

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

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Ananiadou, S., Friedman, C. en Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)

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SpasiÄ‡, I. en 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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Stenetorp, P., Pyysalo, S., Ananiadou, S. en Tsujii, J., Generalising semantic category disambiguation with large lexical resources for fun and profit (2014), in: Journal of Biomedical Semantics, 5(26)

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Kontonatsios, G., Korkontzelos, I., Kolluru, B., Thompson, P. en Ananiadou, S., Deploying and Sharing U-Compare Workflows as Web Services (2013), in: Journal of Biomedical Semantics, 4(7)

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Thompson, P., Daikou, S., Ueno, K., Batista-Navarro, R., Tsujii, J. en Ananiadou, S., Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37)

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Batista-Navarro, R., Rak, R. en Ananiadou, S., Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics (2015), in: Journal of Cheminformatics, 7:Suppl 1(S6)

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Kolluru, B., Nakjang, S., Hirt, R. P, Wipat, A. en Ananiadou, S., Automatic extraction of microorganisms and their habitats from free text using text mining workflows (2011), in: Journal of Integrative Bioinformatics, 8:2(184)

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

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Alhuzali, H., Zhang, T. en Ananiadou, S., A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research

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Alhuzali, H., Zhang, T. en Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323)

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Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M. en Ananiadou, S., Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101)

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Ju., M., Nguyen, N. T. H., Miwa, M. en Ananiadou, S., An Ensemble of Neural Models for Nested Adverse Drug Events and Medication Extraction with Subwords (2019), in: Journal of the American Medical Informatics Association, 27:1(22-30)

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Przybyɫa, P., Brockmeier, A. J. en 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)

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Mu, T., Goulermas, J. Y, Korkontzelos, I. en Ananiadou, S., Descriptive Clustering via Discriminant Learning in a Coembedded Space of Multi-level Similarities (2016), in: Journal of the Association for Information Science and Technology, 67:1(106-133)

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Yuan, C., Xie, Q. en Ananiadou, S., Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410)

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Xie, Q., Bishop, J., Tiwari, P. en 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. en 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. 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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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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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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