Institutional Repository
| smoothing document language model with local word graph | |
| Huang Yunping; Sun Le; Nie Jian-Yun | |
| 2009 | |
| Conference Name | ACM 18th International Conference on Information and Knowledge Management, CIKM 2009 |
| Source | International Conference on Information and Knowledge Management, Proceedings |
| Pages | 1943-1946 |
| Conference Date | 40849 |
| Conference Place | Hong Kong, China |
| Indexed Type | 其他 |
| Publish Place | United States |
| Publisher | United States |
| ISBN | 9781605585123 |
| Department | (1) Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Department of Computer Science and Operations Research, University of Montreal, Canada |
| English Abstract | 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. |
| Keyword | Computational Linguistics |
| Sponsorship | ACM SIGIR; ACM SIGWEB |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8446 |
| Collection | 基础软件国家工程研究中心 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| smoothing document l（488KB） | 开放获取 | -- | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment