%0 Journal Article
%T 面向框架语义分析的目标词自动识别方法<br>Automatic target identification in frame semantic parsing
%A 陈亚东
%A 洪宇
%A 杨雪蓉
%A 王潇斌
%A 姚建民
%A 朱巧明&lt
%A br&gt
%A CHEN Ya-dong
%A HONG Yu
%A YANG Xue-rong
%A WANG Xiao-bin
%A YAO Jian-min
%A ZHU Qiao-ming
%J 山东大学学报（理学版）
%D 2015
%R 10.6040/j.issn.1671-9352.3.2014.076
%X 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。<br>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
%K 框架语义
%K 目标词识别
%K 监督学习
%K 框架目标词
%K &lt
%K br&gt
%K frame semantics
%K target identification
%K supervised learning
%K frame target
%U http://lxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1671-9352.3.2014.076