Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS

Author:

Hao XubingORCID,Abeysinghe RashmieORCID,Shi Jay,Cui LicongORCID

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Bajaj, G., et al.: Evaluating deep learning models for vocabulary alignment at scale in the umls metathesaurus (2022)

2. Bodenreider, O.: The unified medical language system (umls): integrating biomedical terminology. Nucleic Acids Res. 32(suppl 1), D267–D270 (2004)

3. Hao, X., Abeysinghe, R., Shi, J., Cui, L.: A GCN-based approach to uncover misaligned synonymous terms in the UMLS metathesaurus. In: AMIA Annual Symposium Proceedings, vol. 2023, p. 977. American Medical Informatics Association (2023)

4. Nguyen, V., Bodenreider, O.: UVA resources for the biomedical vocabulary alignment at scale in the UMLS metathesaurus. arXiv preprint arXiv:2205.10575 (2022)

5. Nguyen, V., et al.: Context-enriched learning models for aligning biomedical vocabularies at scale in the umls metathesaurus. In: Proceedings of the ACM Web Conference 2022, pp. 1037–1046 (2022)

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