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题名:
smoothing document language model with local word graph
作者: Huang Yunping ; Sun Le ; Nie Jian-Yun
会议文集: International Conference on Information and Knowledge Management, Proceedings
会议名称: ACM 18th International Conference on Information and Knowledge Management, CIKM 2009
会议日期: 40849
出版日期: 2009
会议地点: Hong Kong, China
关键词: Computational linguistics
出版者: United States
出版地: United States
收录类别: 其他
ISBN: 9781605585123
部门归属: (1) Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Department of Computer Science and Operations Research, University of Montreal, Canada
主办者: ACM SIGIR; ACM SIGWEB
英文摘要: Smoothing document model with word graph is a new and effective method in information retrieval. Word graph can naturally incorporate the dependency between the words; random walk algorithm based on the graph can be used to estimate the weight of each vertex. In this paper, we present a new way to construct a local word graph for smoothing document model, which exploits the documents k nearest neighbors: the vertices represent the words in the document and its k nearest neighbors, and the weights of the edges are estimated through word co-occurrence in the local document set. We argue that word graph is a key factor to the performance in graph-based smoothing method. By using the local document set, we can obtain a document specific word graph, and achieve better retrieval performance. Experimental results on three TREC collections show that our proposed approach is effective. Copyright 2009 ACM.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8446
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Huang Yunping,Sun Le,Nie Jian-Yun. smoothing document language model with local word graph[C]. 见:ACM 18th International Conference on Information and Knowledge Management, CIKM 2009. Hong Kong, China. 40849.
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