MeDAL
Introduced by Wen et al. in MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
The Medical Dataset for Abbreviation Disambiguation for Natural Language Understanding (MeDAL) is a large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain. It was published at the ClinicalNLP workshop at EMNLP.
Source: https://github.com/McGill-NLP/medalPapers
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