Papers by Rina Galperin

1 papers
Cross-Lingual UMLS Named Entity Linking using UMLS Dictionary Fine-Tuning (2022.findings-acl)

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Challenge: a new method for named entity linking is being developed in the field of public health . it uses an offline unsupervised construction of a translated dictionary and a pre-trained transformer language model to filter candidates according to context.
Approach: They propose a method for mapping mentions in a source language to UMLS concepts . they extend an offline unsupervised translation of a translated UMLS dictionary .
Outcome: The proposed approach achieves state-of-the-art on the Hebrew Camoni corpus and English datasets.

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