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Measuring semantic similarity by contextualword connections in Chinese news story segmentation
文献类型:会议
作者:Nie, Xuecheng[1]  Feng, Wei[2]  Wan, Liang[3]  Xie, Lei[4]  
机构:[1]School of Computer Science and Technology, Tianjin University, China |School of Computer Software, Tianjin University, China
[2]School of Computer Science and Technology, Tianjin University, China |Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
[3]School of Computer Software, Tianjin University, China |Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
[4]School of Computer Science, Northwestern Polytechnical University, Xi'an, China
年:2013
通讯作者:Feng, W.(wfeng@tju.edu.cn)
会议名称:2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
页码范围:8312-8316
会议地点:Vancouver, BC, Canada
会议开始日期:2013-05-26
会议结束日期:2013-05-31
收录情况:EI(20135217121725)  
所属部门:计算机学院
人气指数:3607
浏览次数:3566
语言:中文
摘要:
A lot of recent work in story segmentation focuses on developing better partitioning criteria to segment news transcripts into sequences of topically coherent stories, while simply relying on the repetition based hard word-level similarities and ignoring the semantic correlations between different words. In this paper, we propose a purely data-driven approach to measuring soft semantic word- and sentence-level similarity from a given corpus, without the guidance of linguistic knowledge, ground-t ...More
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