| smoothing document language model with local word graph | |
| Huang Yunping; Sun Le; Nie Jian-Yun | |
| 2009 | |
| 会议名称 | ACM 18th International Conference on Information and Knowledge Management, CIKM 2009 |
| 会议录名称 | International Conference on Information and Knowledge Management, Proceedings |
| 页码 | 1943-1946 |
| 会议日期 | 40849 |
| 会议地点 | Hong Kong, China |
| 收录类别 | 其他 |
| 出版地 | United States |
| 出版者 | United States |
| 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 |
| 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. |
| 关键词 | Computational Linguistics |
| 主办者 | ACM SIGIR; ACM SIGWEB |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/8446 |
| 专题 | 基础软件国家工程研究中心 |
| 推荐引用方式 GB/T 7714 | Huang Yunping,Sun Le,Nie Jian-Yun. smoothing document language model with local word graph[C]. United States:United States,2009:1943-1946. |
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