Improving graph embeddings via entity linking: A case study on Italian clinical notes
- DOI
- 10.1016/j.iswa.2022.200161
- Published
- 2023-02
- Container
- Intelligent Systems with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.iswa.2022.200161,
title = {Improving graph embeddings via entity linking: A case study on Italian clinical notes},
author = {Daniela D'Auria and Vincenzo Moscato and Marco Postiglione and Giuseppe Romito and Giancarlo Sperlí},
year = {2023},
journal = {Intelligent Systems with Applications},
doi = {10.1016/j.iswa.2022.200161},
url = {https://doi.org/10.1016/j.iswa.2022.200161}
}RIS
TY - JOUR TI - Improving graph embeddings via entity linking: A case study on Italian clinical notes AU - Daniela D'Auria AU - Vincenzo Moscato AU - Marco Postiglione AU - Giuseppe Romito AU - Giancarlo Sperlí PY - 2023 JO - Intelligent Systems with Applications DO - 10.1016/j.iswa.2022.200161 UR - https://doi.org/10.1016/j.iswa.2022.200161 ER -
APA
D'Auria, D., Moscato, V., Postiglione, M., Romito, G., & Sperlí, G. (2023). Improving graph embeddings via entity linking: A case study on Italian clinical notes. Intelligent Systems with Applications. https://doi.org/10.1016/j.iswa.2022.200161
Source records
- crossref · retrieved 2026-09-25T13:30:00.272Z