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Laplacian eigenmaps for automatic news story segmentation
文献类型:会议
作者:Liu, Zihan[1]  Xie, Lei[2]  Zheng, Lilei[3]  
机构:[1]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[2]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
[3]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
年:2010
通讯作者:Liu, Z.(zhliu81@gmail.com)
会议名称:2010 International Conference on Audio, Language and Image Processing, ICALIP 2010
页码范围:419-424
会议地点:Shanghai, China
会议开始日期:2010-11-23
会议结束日期:2010-11-25
收录情况:EI(20110713662716)  
所属部门:计算机学院
人气指数:3667
浏览次数:3627
语言:外文
摘要:
This paper presents a novel lexical-similarity-based approach to automatic story segmentation in broadcast news. When measuring the connection between a pair of sentences, we take two factors into consideration, i.e. the lexical similarity and the distance between them in the text stream. Further investigation of pairwise connections between sentences is based on the technique of Laplacian Eigenmaps (LE). Taking advantage of the LE algorithm, we construct a Euclidean space in which each sentence ...More
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