A supervised framework for resolving coreference in clinical records
نویسندگان
چکیده
منابع مشابه
A supervised framework for resolving coreference in clinical records
OBJECTIVE A method for the automatic resolution of coreference between medical concepts in clinical records. MATERIALS AND METHODS A multiple pass sieve approach utilizing support vector machines (SVMs) at each pass was used to resolve coreference. Information such as lexical similarity, recency of a concept mention, synonymy based on Wikipedia redirects, and local lexical context were used t...
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15 صفحه اولSupervised Models for Coreference Resolution
Traditional learning-based coreference resolvers operate by training a mentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of recent research have attempted to improve these mention-pair classifiers, one by learning a mentionranking model to rank preceding mentions for a given anaphor, and the other by training an entity-mention classifier to...
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In this paper, we discuss the application of UBIU to the CONLL-2011 shared task on “Modeling Unrestricted Coreference” in OntoNotes. The shared task concentrates on the detection of coreference not only in noun phrases but also involving verbs. The information provided for the closed track included WordNet as well as corpus generated number and gender information. Our system shows no improvemen...
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OBJECTIVE Narratives of electronic medical records contain information that can be useful for clinical practice and multi-purpose research. This information needs to be put into a structured form before it can be used by automated systems. Coreference resolution is a step in the transformation of narratives into a structured form. METHODS This study presents a medical coreference resolution s...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2012
ISSN: 1067-5027,1527-974X
DOI: 10.1136/amiajnl-2012-000810