Exploiting Rich Syntactic Features for Hedge Detection and Scope Finding∗
نویسندگان
چکیده
Hedge detection and scope finding are increasingly important tasks in information extraction, especially in the biomedical natural language processing community. In this paper, a novel approach detecting hedge cues and their scopes by sequence labeling is explored. It should be emphasized that syntactic dependencies are systematically exploited and effectively integrated by a large-scale feature selection procedure. Experimental results demonstrate that our method outperforms previous works, and the selected syntactic features effectively promote the performances in both tasks of hedge detection and scope finding.
منابع مشابه
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