J Am Med Inform Assoc - MCORES: a system for noun phrase coreference resolution for clinical records.

Tópicos

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Resumo

JECTIVE: 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 system (MCORES) for noun phrases in four frequently used clinical semantic categories: persons, problems, treatments, and tests. MCORES treats coreference resolution as a binary classification task. Given a pair of concepts from a semantic category, it determines coreferent pairs and clusters them into chains. MCORES uses an enhanced set of lexical, syntactic, and semantic features. Some MCORES features measure the distance between various representations of the concepts in a pair and can be asymmetric.RESULTS AND CONCLUSION: MCORES was compared with an in-house baseline that uses only single-perspective 'token overlap' and 'number agreement' features. MCORES was shown to outperform the baseline; its enhanced features contribute significantly to performance. In addition to the baseline, MCORES was compared against two available third-party, open-domain systems, RECONCILE(ACL09) and the Beautiful Anaphora Resolution Toolkit (BART). MCORES was shown to outperform both of these systems on clinical records.

Resumo Limpo

jectiv narrat electron medic record contain inform can use clinic practic multipurpos research inform need put structur form can use autom system corefer resolut step transform narrat structur formmethod studi present medic corefer resolut system mcore noun phrase four frequent use clinic semant categori person problem treatment test mcore treat corefer resolut binari classif task given pair concept semant categori determin corefer pair cluster chain mcore use enhanc set lexic syntact semant featur mcore featur measur distanc various represent concept pair can asymmetricresult conclus mcore compar inhous baselin use singleperspect token overlap number agreement featur mcore shown outperform baselin enhanc featur contribut signific perform addit baselin mcore compar two avail thirdparti opendomain system reconcileacl beauti anaphora resolut toolkit bart mcore shown outperform system clinic record

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