multilinguality:monolingual language:en license:other region:us
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.
@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},
}

---
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},
}

```
