bigbio/medal

Dataset

language:

0

10 commits

2 linked in READMEs

updated Dec 22, 2022

See the code

README


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

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},
}

bigbio/medal

Dataset

language:

0

10 commits

2 linked in READMEs

updated Dec 22, 2022

See the code

README


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

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},
}