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