Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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

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Hashimoto, K., Kontonatsios, G., Miwa, M. and 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. and Ananiadou, S., Reducing systematic review workload through certainty-based screening (2014), in: Journal of Biomedical Informatics

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

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SpasiÄ‡, I. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. 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)

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Mu, T., Goulermas, J. Y, Korkontzelos, I. and 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. and 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. 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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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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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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| 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 | 376-389 |

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