一种基于改进似然比的术语自动抽取方法  

A Term Extraction Approach Based on Modified Log-likelihood Ratio

作　　者：林磊[1] 孙承杰[1] 张二艳[1] 刘秉权[1] 

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《广西师范大学学报（自然科学版）》2010年第1期153-156,共4页Journal of Guangxi Normal University:Natural Science Edition

基　　金：国家863计划资助项目(2007AA01Z172);国家自然科学基金面上资助项目(60673019;60673037)

摘　　要：术语自动抽取是信息处理领域的基础性课题,日益受到研究者的关注。似然比方法能有效抽取低频词汇,但抽取准确率偏低。为了解决这个问题,将似然比的抽取结果用C-value进行改进。实验证明,两者相结合,在保证似然比方法高召回率的前提下,比单纯依靠似然比方法抽取准确率提高了约8%。Term extraction is a basic subject in information processing and is attracting more and more attention nowadays. In order to extract low frequency words effectively, Log-likelihood ratio method is used but with a low precision rate. To solve this problem,C-value method is used to deal with the results of Log-likelihood ratio. Experiment results show that by combining the two methods ,the precision is improved in the premise of ensuing high recall rate of Log-likelihood ratio method. The proposed method can improve the precision by about 8; compared with the Log-likelihood ratio method.

关 键 词：低频词 对数似然比 C—value 术语抽取 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]