计算机工程与应用Issue(5)：142-145,4.DOI:10.3778/j.issn.1002-8331.1303-0429
句法信息指导的汉语词义消歧
Chinese word sense disambiguation directed by syntactic infor-mation
摘要
Abstract
The task of word sense disambiguation is to make computers choose the correct sense of an ambiguous word in a given context. It is important for problems in natural language processing, such as information retrieval, machine transla-tion, text classification and automatic summarization. In this paper, a new method of word sense disambiguation is pro-posed, where syntactic information is introduced. The parsing tree of its context including the ambiguous word is built. Disambiguation features are extracted including parsing information, part of speech and word information. The Bayesian model is used to build word sense disambiguation classifier. Experimental results show that accuracy rate of disambigua-tion is improved and arrives at 65%.关键词
词义消歧/句法信息/消歧特征/贝叶斯模型Key words
word sense disambiguation/syntactic information/disambiguation features/Bayesian model分类
信息技术与安全科学引用本文复制引用
张春祥,栾博,高雪瑶,卢志茂..句法信息指导的汉语词义消歧[J].计算机工程与应用,2015,(5):142-145,4.基金项目
黑龙江省教育厅科学技术研究项目（No.12531106）。 （）
