Also written by Zhang Y , Et Al.:
Mobilizing clinical decision support to facilitate knowledge translation: A case study in China.
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Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

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Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features.

AMIA Annu Symp Proc. 2016;2016:1283-1292

Authors: Zhang Y, Jiang M, Wang J, Xu H

Abstract Semantic role labeling (SRL), which extracts shallow semantic relation representation from different surface textual forms of free text sentences, is important for understanding clinical narratives.

Mentions: Berkeley Penn Treebank Treebank