| language: | |
| - en | |
| bigbio_language: | |
| - English | |
| license: other | |
| multilinguality: monolingual | |
| bigbio_license_shortname: NLM_LICENSE | |
| pretty_name: MeDAL | |
| homepage: https://github.com/BruceWen120/medal | |
| bigbio_pubmed: True | |
| bigbio_public: True | |
| bigbio_tasks: | |
| - NAMED_ENTITY_DISAMBIGUATION | |
| # Dataset Card for MeDAL | |
| ## Dataset Description | |
| - **Homepage:** https://github.com/BruceWen120/medal | |
| - **Pubmed:** True | |
| - **Public:** True | |
| - **Tasks:** NED | |
| 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}, | |
| } | |
| ``` | |