Dataset Card for MeDAL

The Repository for 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.

Citation Information

@inproceedings{,
    title = {MeDAL\: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining},
    author = {Wen, Zhi and Lu, Xing Han and Reddy, Siva},
    booktitle = {Proceedings of the 3rd Clinical Natural Language Processing Workshop},
    month = {Nov},
    year = {2020},
    address = {Online},
    publisher = {Association for Computational Linguistics},
    url = {https://www.aclweb.org/anthology/2020.clinicalnlp-1.15},
    pages = {130--135},
}