Gamal Crichton
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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
1772016
Attending to characters in neural sequence labeling models
M Rei, GKO Crichton, S Pyysalo
arXiv preprint arXiv:1611.04361, 2016
1052016
A neural network multi-task learning approach to biomedical named entity recognition
G Crichton, S Pyysalo, B Chiu, A Korhonen
BMC bioinformatics 18 (1), 368, 2017
572017
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), 176, 2018
282018
Code supporting: A Neural Network Multi-Task Learning Approach to Biomedical Named Entity Recognition
G Crichton, S Pyysalo
12017
Ovaz: A concept-based exploratory search system with peer-to-peer capabilities
GKO Crichton
University of the West Indies, Cave Hill, Barbados, 2013
12013
Neural networks for open and closed Literature-based Discovery
G Crichton, S Baker, Y Guo, A Korhonen
Plos one 15 (5), e0232891, 2020
2020
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 Information: A Neural Network Multi-Task Learning Approach to Biomedical Named Entity Recognition
G Crichton, S Pyysalo, B Chiu, A Korhonen
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Artikelen 1–9