面向经济领域的同义词获取融合方法研究  

Research on Syncretic Synonym Acquisition for Economic Field

作　　者：马海昌[1] 张志昌[1] 赵学锋[1] 刘鑫[1] 孔波[1] 

机构地区：[1]西北师范大学计算机科学与工程学院,兰州730070

出　　处：《科学技术与工程》2014年第15期207-211,共5页Science Technology and Engineering

基　　金：国家自然科学基金项目(61163039;61163036);西北师范大学青年教师科研能力提升计划项目(NWNU-LKQN-10-2)资助

摘　　要：随着互联网新技术的不断发展和信息的爆炸式增长,自然语言处理和信息检索等技术在信息的处理和获取方面呈现愈加重要的作用,而同义词又在各种自然语言处理和信息检索应用中有着重要的研究意义和应用价值。基于此,提出一种面向经济领域的字面相似和PageRank链接融合的同义词方法,可从海量语料库中获取大量的同义词集合。With the continuous development of the new internet technology and the explosive growth of information,the technology of natural language processing and information retrieval plays more and more important role in the processing and acquisition of information,moreover,synonym has important research significance and application value in all sorts of applications about natural language processing and information retrieval. The syncretic method consisted of literal similarity and PageRank to acquire synonyms was proposed,the method can acquire a large number of synonyms from a huge of massive of corpus.

关 键 词：同义词 同义词获取 字面相似 模板匹配 链接算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]