Background: Full syntactic parsing of clinical text as a part of clinical natural language processing (NLP) is critical for a wide range of applications. Several robust syntactic parsers are publicly available to produce linguistic representations for sentences. However, these existing parsers are mostly trained on general English text and may require adaptation for optimal performance on clinical text. Our objective was to adapt an existing general English parser for the clinical text of operative reports via lexicon augmentation, statistics adjusting, and grammar rules modification based on operative reports.
Probabilistic context-free grammar (PCFG)Unlexicalized parserParser adaptionNatural language processingOperative reportsSPECIALIST
Melton, Genevieve B.、Ryan, James O.、Wang, Yan、Pakhomov, Serguei
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Univ Minnesota, Inst Hlth Informat, Minneapolis, MN 55455 USA
NSTL
Elsevier
