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