2011 - Coreference
Bibliographic References tagged with 2011 - Coreference
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Uzuner Ö, Bodnari A, Shen S, Forbush T, Pestian J, South B. Evaluating the state of the art in coreference resolution for electronic medical records.
Journal of the American Medical Informatics Association. 2012;19(5):786–791.
Uzuner Ö, Bodnari A, Shen S, Forbush T, Pestian J, South B. Evaluating the state of the art in coreference resolution for electronic medical records.
Journal of the American Medical Informatics Association. 2012;19(5):786–791.
Xu Y, Hong K, Tsujii J, Chang EIC. Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
Journal of the American Medical Informatics Association. 2012;19(5):824–832.
Xu Y, Hong K, Tsujii J, Chang EIC. Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
Journal of the American Medical Informatics Association. 2012;19(5):824–832.
Jonnalagadda SR, Li D, Sohn S, Wu S, Wagholikar K, Torii M, Liu H. Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.
Journal of the American Medical Informatics Association. 2012;19(5):867–874.
Jonnalagadda SR, Li D, Sohn S, Wu S, Wagholikar K, Torii M, Liu H. Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.
Journal of the American Medical Informatics Association. 2012;19(5):867–874.
Rink B, Roberts K, Harabagiu S. A supervised framework for resolving coreference in clinical records.
Journal of the American Medical Informatics Association. 2012;19(5):875–882.
Rink B, Roberts K, Harabagiu S. A supervised framework for resolving coreference in clinical records.
Journal of the American Medical Informatics Association. 2012;19(5):875–882.
Ware H, Mullett C, Jagannathan V, El-Rawas O. Machine learning-based coreference resolution of concepts in clinical documents.
Journal of the American Medical Informatics Association. 2012;19(5):883–887.
Ware H, Mullett C, Jagannathan V, El-Rawas O. Machine learning-based coreference resolution of concepts in clinical documents.
Journal of the American Medical Informatics Association. 2012;19(5):883–887.
Dai HJ, Chen CY, Wu CY, Lai PT, Tsai RTH, Hsu WL. Coreference resolution of medical concepts in discharge summaries by exploiting contextual information.
Journal of the American Medical Informatics Association. 2012;19(5):888–896.
Dai HJ, Chen CY, Wu CY, Lai PT, Tsai RTH, Hsu WL. Coreference resolution of medical concepts in discharge summaries by exploiting contextual information.
Journal of the American Medical Informatics Association. 2012;19(5):888–896.
Xu Y, Liu J, Wu J, Wang Y, Tu Z, Sun JT, Tsujii J, Chang EIC. A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.
Journal of the American Medical Informatics Association. 2012;19(5):897–905.
Xu Y, Liu J, Wu J, Wang Y, Tu Z, Sun JT, Tsujii J, Chang EIC. A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.
Journal of the American Medical Informatics Association. 2012;19(5):897–905.
Bodnari A, Szolovits P, Uzuner Ö. MCORES: a system for noun phrase coreference resolution for clinical records .
Journal of the American Medical Informatics Association. 2012;19(5):906–912.
Bodnari A, Szolovits P, Uzuner Ö. MCORES: a system for noun phrase coreference resolution for clinical records .
Journal of the American Medical Informatics Association. 2012;19(5):906–912.