Domain adaptation for semantic role labeling of clinical text

@article{Zhang2014DomainAF,
  title={Domain adaptation for semantic role labeling of clinical text},
  author={Yaoyun Zhang and Buzhou Tang and Min Jiang and Jingqi Wang and Hua Xu},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2014},
  volume={22 5},
  pages={967-79}
}
OBJECTIVE Semantic role labeling (SRL), which extracts a shallow semantic relation representation from different surface textual forms of free text sentences, is important for understanding natural language. Few studies in SRL have been conducted in the medical domain, primarily due to lack of annotated clinical SRL corpora, which are time-consuming and costly to build. The goal of this study is to investigate domain adaptation techniques for clinical SRL leveraging resources built from… CONTINUE READING
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