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upload hub_repos/n2c2_2011/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: DUA
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pretty_name: n2c2 2011 Coreference
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---
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# Dataset Card for n2c2 2011 Coreference
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## Dataset Description
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- **Homepage:** https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/
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- **Pubmed:** False
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- **Public:** False
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- **Tasks:** Coreference Resolution
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The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel
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Deaconess Medical Center, Partners Healthcare, and University of Pittsburgh Medical
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Center (UPMC). In addition, UPMC contributed de-identified progress notes to the
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i2b2/VA corpus. This dataset contains the records from Beth Israel and Partners.
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The i2b2/VA corpus contained five concept categories: problem, person, pronoun,
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test, and treatment. Each record in the i2b2/VA corpus was annotated by two
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independent annotators for coreference pairs. Then the pairs were post-processed
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in order to create coreference chains. These chains were presented to an adjudicator,
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who resolved the disagreements between the original annotations, and added or deleted
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annotations as necessary. The outputs of the adjudicators were then re-adjudicated, with
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particular attention being paid to duplicates and enforcing consistency in the annotations.
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## Citation Information
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```
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@article{uzuner2012evaluating,
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author = {
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Uzuner, Ozlem and
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Bodnari, Andreea and
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Shen, Shuying and
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Forbush, Tyler and
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Pestian, John and
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South, Brett R
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},
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title = "{Evaluating the state of the art in coreference resolution for electronic medical records}",
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journal = {Journal of the American Medical Informatics Association},
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volume = {19},
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number = {5},
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pages = {786-791},
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year = {2012},
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month = {02},
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issn = {1067-5027},
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doi = {10.1136/amiajnl-2011-000784},
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url = {https://doi.org/10.1136/amiajnl-2011-000784},
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eprint = {https://academic.oup.com/jamia/article-pdf/19/5/786/17374287/19-5-786.pdf},
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}
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```
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