Siamese KG-LSTM: A deep learning model for enriching UMLS Metathesaurus synonymy.
- DOI
- 10.1109/kse50997.2020.9287797
- Published
- 2020 Nov
- Container
- The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/kse50997.2020.9287797,
title = {Siamese KG-LSTM: A deep learning model for enriching UMLS Metathesaurus synonymy.},
author = {Tran TTT and Nghiem SV and Le VT and Quan TT and Nguyen V and Yip HY and Bodenreider O},
year = {2020},
journal = {The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering},
doi = {10.1109/kse50997.2020.9287797},
url = {https://doi.org/10.1109/kse50997.2020.9287797}
}RIS
TY - JOUR TI - Siamese KG-LSTM: A deep learning model for enriching UMLS Metathesaurus synonymy. AU - Tran TTT AU - Nghiem SV AU - Le VT AU - Quan TT AU - Nguyen V AU - Yip HY AU - Bodenreider O PY - 2020 JO - The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering DO - 10.1109/kse50997.2020.9287797 UR - https://doi.org/10.1109/kse50997.2020.9287797 ER -
APA
TTT, T., SV, N., VT, L., TT, Q., V, N., HY, Y., & O, B. (2020). Siamese KG-LSTM: A deep learning model for enriching UMLS Metathesaurus synonymy.. The ... International Conference on Knowledge and Systems Engineering. International Conference on Knowledge and Systems Engineering. https://doi.org/10.1109/kse50997.2020.9287797
Source records
- pubmed · retrieved 2026-09-25T18:18:54.954Z
- europe-pmc · retrieved 2026-09-25T18:18:54.941Z