--- 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}, } ```