A CONDITIONAL RANDOM FIELDS APPROACH TO BIOMEDICAL NAMED ENTITY RECOGNITION-中国期刊网

摘要 Namedentityrecognitionisafundamentaltaskinbiomedicaldatamining.Inthisletter,anamedentityrecognitionsystembasedonCRFs(ConditionalRandomFields)forbiomedicaltextsispresented.Thesystemmakesextensiveuseofadiversesetoffeatures,includinglocalfeatures,fulltextfeaturesandexternalresourcefeatures.Allfeaturesincorporatedinthissystemaredescribedindetail,andtheimpactsofdifferentfeaturesetsontheperformanceofthesystemareevaluated.Inordertoimprovetheperformanceofsystem,post-processingmodulesareexploitedtodealwiththeabbrevia-tionphenomena,cascadednamedentityandboundaryerrorsidentification.Evaluationonthissystemprovedthatthefeatureselectionhasimportantimpactonthesystemperformance,andthepost-processingexploredhasanimportantcontributiononsystemperformancetoachievebetterre-sults.

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A CONDITIONAL RANDOM FIELDS APPROACH TO BIOMEDICAL NAMED ENTITY RECOGNITION

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A CONDITIONAL RANDOM FIELDS APPROACH TO BIOMEDICAL NAMED ENTITY RECOGNITION

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