Prof Sophia Ananiadou

Chair in Computer Science

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Publications

  1. 2019
  2. Published

    Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    Christopoulou, E., Miwa, M. & Ananiadou, S., 9 Nov 2019, In : Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 12 p.

    Research output: Contribution to journalConference articlepeer-review

  3. Published

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

    Shardlow, M., Ju, M., Li, M., O’Reilly, C., Iavarone, E., McNaught, J. & Ananiadou, S., 15 Jul 2019, In : Neuroinformatics. 17, 3, p. 391-406 16 p.

    Research output: Contribution to journalArticlepeer-review

  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 contributionpeer-review

  5. 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 contributionpeer-review

  6. 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 contributionpeer-review

  7. 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 journalArticlepeer-review

  8. 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 journalArticlepeer-review

  9. Published

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

    Alhuzali, H. & Ananiadou, S., 2019, p. 339. 347 p.

    Research output: Contribution to conferencePaperpeer-review

  10. 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 articlepeer-review

  11. 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 journalArticlepeer-review

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Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Research output: Contribution to journalArticlepeer-review

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Research output: Contribution to journalArticlepeer-review

79

Research output: Contribution to journalArticlepeer-review