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- 2015
面向框架语义分析的目标词自动识别方法
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Abstract:
摘要： 提出了一种基于监督学习的目标词自动识别方法,分析并检验了多种区分目标词、框架元素和非实义词的分类特征,并在此基础上,联合使用监督学习与规则匹配方法,形成了兼顾扩展性和精确性的目标词识别系统。在FrameNet语料集的实验结果显示,融合方法的目标词识别获得了3.86%的性能提升。
Abstract: An automatic target identification method is introduced by analyzing some classification features to distinguish target words, frame elements and non-substantive words. A scalable and accurate target identification system is obtained. The experiment results on FrameNet prove that the joint method gains 3.86% in target identification
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