| How to train good word embeddings for biomedical NLP B Chiu, G Crichton, A Korhonen, S Pyysalo Proceedings of the 15th workshop on biomedical natural language processing …, 2016 | 265 | 2016 |
| Attending to characters in neural sequence labeling models M Rei, GKO Crichton, S Pyysalo arXiv preprint arXiv:1611.04361, 2016 | 147 | 2016 |
| A neural network multi-task learning approach to biomedical named entity recognition G Crichton, S Pyysalo, B Chiu, A Korhonen BMC bioinformatics 18 (1), 1-14, 2017 | 96 | 2017 |
| Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches G Crichton, Y Guo, S Pyysalo, A Korhonen BMC bioinformatics 19 (1), 1-11, 2018 | 44 | 2018 |
| Neural networks for open and closed Literature-based Discovery G Crichton, S Baker, Y Guo, A Korhonen PloS one 15 (5), e0232891, 2020 | 4 | 2020 |
| Code supporting: A Neural Network Multi-Task Learning Approach to Biomedical Named Entity Recognition G Crichton, S Pyysalo | 1 | 2017 |
| Ovaz: A concept-based exploratory search system with peer-to-peer capabilities GKO Crichton University of the West Indies, Cave Hill, Barbados, 2013 | 1 | 2013 |
| Improving automated literature-based discovery with neural networks: neural biomedical named entity recognition, link prediction and discovery GKO Crichton University of Cambridge, 2019 | | 2019 |
| Supplementary Document for’Neural networks for open and closed Literature-based discovery’ G Crichton, S Baker, Y Guo, A Korhonen | | |
Anna KorhonenProfessor, Computer Science and Linguistics, University of CambridgeVerified email at cam.ac.uk
