Prof Sophia Ananiadou

Chair in Computer Science

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Publications

  1. 2019
  2. E-pub ahead of print

    Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries

    Wang, Y., Fan, X., Chen, L., Chang, E. I., Ananiadou, S., Tsujii, J. & Xu, Y., 17 Aug 2019, In : BMC Bioinformatics. 20, 1

    Research output: Contribution to journalArticle

  3. Published

    Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods

    Christopoulou, F., Tran, T., Sahu, S., Miwa, M. & Ananiadou, S., 7 Aug 2019, In : Journal of the American Medical Informatics Association.

    Research output: Contribution to journalArticle

  4. Published

    Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning

    Alhuzali, H. & Ananiadou, S., 1 Jul 2019, Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning. p. 339 347 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Published

    A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience

    Shardlow, M., Ju, M., Li, M., O'Reilly, C., Iavarone, E., McNaught, J. & Ananiadou, S., Jul 2019, In : Neuroinformatics. 17, 3, p. 391-406 16 p.

    Research output: Contribution to journalArticle

  6. Published

    Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    Sahu, S., Christopoulou, E., Miwa, M. & Ananiadou, S., Jul 2019, Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. p. 4309-4316 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    An Ensemble of Neural Models for Nested Adverse Drug Events and Medication Extraction with Subwords

    Ju, M., Nguyen, N., Miwa, M. & Ananiadou, S., 14 Jun 2019, In : Journal of the American Medical Informatics Association.

    Research output: Contribution to journalArticle

  8. Published

    Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks

    Li, M., Fahlström Myrman, A., Mu, T. & Ananiadou, S., Jun 2019, Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. p. 2873-2883 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Published

    Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease

    Ju, M., Short, A., Thompson, P., Diar Bakerly, N., Gkoutos, G., Tsaprouni, L. & Ananiadou, S., 26 Apr 2019, In : Journal of the American Medical Informatics Association.

    Research output: Contribution to journalArticle

  10. Published

    Hypothesis, analysis and synthesis, it's all Greek to me

    Iliopoulos, I., Ananiadou, S., Danchin, A., Ioannidis, J. P., Katsikis, P. D., Ouzounis, C. A. & Promponas, V. J., 2019, In : eLife. 8

    Research output: Contribution to journalArticle

  11. Published
  12. Published

    Machine learning algorithms for systematic review: Reducing workload in a preclinical review of animal studies and reducing human screening error

    Bannach-Brown, A., Przybyła, P., Thomas, J., Rice, A. S. C., Ananiadou, S., Liao, J. & Macleod, M. R., 2019, In : Systematic Reviews. 8, 1, 23.

    Research output: Contribution to journalReview article

  13. Published

    Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model

    Przybyla, P., Brockmeier, A. & Ananiadou, S., 2019, In : Journal of the American Medical Informatics Association.

    Research output: Contribution to journalArticle

  14. 2018
  15. Published

    Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature

    Tsujii, J., Ananiadou, S. & Wang, Y., 3 Dec 2018, Proceedings of BIBM 2018 (IEEE). p. 1582-1586 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Published

    Prioritising references for systematic reviews with RobotAnalyst: a user study

    Przybyła, P., Brockmeier, A., Kontonatsios, G., Le Pogam, M-A., McNaught, J., von Elm, E., Nolan, K. & Ananiadou, S., 25 Sep 2018, In : Research Synthesis Methods. 9, 3, p. 470-488

    Research output: Contribution to journalArticle

  17. Published

    Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts

    Trieu, H-L., Nguyen, N., Miwa, M. & Ananiadou, S., 19 Jul 2018, Proceedings of the BioNLP 2018 workshop . p. 183-188 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. Published

    Biosimilar vs originator insulins: Systematic review and meta-analysis

    Yamada, T., Kamata, R., Ishinohachi, K., Shojima, N., Ananiadou, S., Nom, H., Yamauchi, T. & Kadowaki, T., 1 Jul 2018, In : Diabetes, Obesity and Metabolism. 20, 7, p. 1787-1792

    Research output: Contribution to journalArticle

  19. Published

    Identification of research hypotheses and new knowledge from scientific literature

    Shardlow, M., Batista-Navarro, R. T., Thompson, P., McNaught, J. & Ananiadou, S., 25 Jun 2018, In : BMC Medical Informatics and Decision Making. 18, 13 p., 46.

    Research output: Contribution to journalArticle

  20. Published

    Paths for uncertainty: Exploring the intricacies of uncertainty identification for news

    Zerva, C. & Ananiadou, S., 5 Jun 2018, Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR). p. 6-20 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  21. Published

    Extracting Gene-Disease Relations from Text to Support Biomarker Discovery

    Thompson, P. & Ananiadou, S., 2 Jun 2018, Digital Health 2017: Global Public Health, Personalised Medicine, and Emergency Medicine in the Age of Big Data. ACM Digital Library

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Published

    A Neural Layered Model for Nested Named Entity Recognition

    Ju, M., Miwa, M. & Ananiadou, S., 1 Jun 2018, Proceedings of NAACL 2018. p. 1446-1459 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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