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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
4112016
Attending to characters in neural sequence labeling models
M Rei, GKO Crichton, S Pyysalo
arXiv preprint arXiv:1611.04361, 2016
2592016
A neural network multi-task learning approach to biomedical named entity recognition
G Crichton, S Pyysalo, B Chiu, A Korhonen
BMC bioinformatics 18, 1-14, 2017
2452017
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, 1-11, 2018
852018
Neural networks for open and closed Literature-based Discovery
G Crichton, S Baker, Y Guo, A Korhonen
PloS one 15 (5), e0232891, 2020
362020
Drug repurposing: Known knowns to unknown unknowns–Network analysis of the repurposome
D Cavalla, G Crichton
Drug Discovery Today, 103639, 2023
32023
Improving automated literature-based discovery with neural networks: neural biomedical named entity recognition, link prediction and discovery
GKO Crichton
12019
Code supporting: A neural network multi-task learning approach to biomedical named entity recognition
GKO 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
Supplementary Document for’Neural networks for open and closed Literature-based discovery’
G Crichton, S Baker, Y Guo, A Korhonen
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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