基于伪相关反馈模型的领域词典生成算法  

A Domain Dictionary Generation Algorithm Based on Pseudo Feedback Model

作　　者：黄玉兰[1] 龚才春[1] 许洪波[1] 程学旗[1] 

机构地区：[1]中国科学院计算技术研究所

出　　处：《中文信息学报》2008年第1期111-115,共5页Journal of Chinese Information Processing

基　　金：国家重大基础研究973项目资助(2004CB318109);国家信息安全242项目资助(2006A10)

摘　　要：本文提出了一种基于伪相关反馈模型的领域词典自动生成算法。将领域词典生成过程视为领域术语的检索过程:假设初始检索出来的前若干个字符串与领域相关,将这些字符串加到领域词典中,重新检索,如此迭代,直到生成的领域词典达到预先设定的规模。实验表明,本算法经过若干次迭代后生成的领域词典准确率高于已有领域词典生成算法。A domain dictionary generation algorithm based on pseudo feedback model is presented in this paper. The generation of domain dictionary is regarded as a domain term retrieval process： Assume that top N strings in the original retrieval result-set are relevant to C, append these strings into the dictionary, retrieval again. Iterate the process until a predefined number of domain terms have been generated. Experiments upon corpus show that the precision of pseudo-feedback-model based algorithm is much higher than existing algorithms.

关 键 词：计算机应用 中文信息处理 有意串 领域词典 大规模语料 伪相关反馈 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]