Papers with BioLORD

1 papers
BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions (2022.findings-emnlp)

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Challenge: BioLORD is a pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.
Approach: They propose a pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts using definitions and ontologies.
Outcome: The proposed model produces more semantic representations that match more closely the hierarchical structure of ontologies.

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