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upload hub_repos/genetag/README.md to hub from bigbio repo
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README.md
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---
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language:
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- en
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license: other
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license_bigbio_shortname: NCBI_LICENSE
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pretty_name: GENETAG
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---
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# Dataset Card for GENETAG
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## Dataset Description
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- **Homepage:** https://github.com/openbiocorpora/genetag
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- **Pubmed:** True
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- **Public:** True
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- **Tasks:** Named Entity Recognition
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Named entity recognition (NER) is an important first step for text mining the biomedical literature.
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Evaluating the performance of biomedical NER systems is impossible without a standardized test corpus.
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The annotation of such a corpus for gene/protein name NER is a difficult process due to the complexity
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of gene/protein names. We describe the construction and annotation of GENETAG, a corpus of 20K MEDLINE®
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sentences for gene/protein NER. 15K GENETAG sentences were used for the BioCreAtIvE Task 1A Competition..
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## Citation Information
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```
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@article{Tanabe2005,
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author = {Lorraine Tanabe and Natalie Xie and Lynne H Thom and Wayne Matten and W John Wilbur},
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title = {{GENETAG}: a tagged corpus for gene/protein named entity recognition},
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journal = {{BMC} Bioinformatics},
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volume = {6},
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year = {2005},
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url = {https://doi.org/10.1186/1471-2105-6-S1-S3},
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doi = {10.1186/1471-2105-6-s1-s3},
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biburl = {},
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bibsource = {}
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}
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```
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