Sophia Ananiadou

Affiliations: 
National Centre for Text Mining, Manchester Interdisciplinary Biocentre University of Manchester, Manchester, England, United Kingdom 
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"Sophia Ananiadou"
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Xie Q, Tiwari P, Ananiadou S. (2023) Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. Ieee Journal of Biomedical and Health Informatics
Wang K, Stevens R, Alachram H, et al. (2021) NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding. Npj Systems Biology and Applications. 7: 38
Tran TT, Miwa M, Ananiadou S. (2020) Syntactically-informed word representations from graph neural network. Neurocomputing. 413: 431-443
Trieu HL, Tran TT, Duong KNA, et al. (2020) DeepEventMine: end-to-end neural nested event extraction from biomedical texts. Bioinformatics (Oxford, England)
Ju M, Short AD, Thompson P, et al. (2019) Annotating and detecting phenotypic information for chronic obstructive pulmonary disease. Jamia Open. 2: 261-271
Wang Y, Ananiadou S, Tsujii J. (2019) Improving clinical named entity recognition in Chinese using the graphical and phonetic feature. Bmc Medical Informatics and Decision Making. 19: 273
Brockmeier AJ, Ju M, Przybyła P, et al. (2019) Improving reference prioritisation with PICO recognition. Bmc Medical Informatics and Decision Making. 19: 256
Wang Y, Fan X, Chen L, et al. (2019) Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries. Bmc Bioinformatics. 20: 430
Ju M, Nguyen NTH, Miwa M, et al. (2019) An ensemble of neural models for nested adverse drug events and medication extraction with subwords. Journal of the American Medical Informatics Association : Jamia
Iliopoulos I, Ananiadou S, Danchin A, et al. (2019) Hypothesis, analysis and synthesis, it's all Greek to me. Elife. 8
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