Integrate chinese semantic knowledge into word sense disambiguation
发表时间：2019-03-11
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论文类型：
期刊论文
第一作者：
Chun-Xiang, Zhang
合写作者：
Lu-Rong, Sun,Xue-Yao, Gao,Zhi-Mao, Lu,Yong, Yue
发表时间：
2015-01-01
发表刊物：
International Journal of Hybrid Information Technology
收录刊物：
EI
文献类型：
J
卷号：
8
期号：
4
页面范围：
105-116
ISSN号：
17389968
摘要：
Word sense disambiguation is important for many applications in natural language processing fields including machine translation, information retrieval and automatic summarization. In this paper, left word unit and right word unit are extracted for improving the quality of word sense disambiguation (WSD) starting from the target polysemous word. Their semantic knowledge is mined from Tongyici Cilin which is a Chinese semantic lexicon. A new method of word sense disambiguation is proposed with semantic information of left word unit and right word unit. The classifier of word sense disambiguation is built based on bayesian model. SemEval-2007: Task#5 is used as training corpus and test corpus. Experimental results show that the disambiguation classifier’s precision is improved and demonstrate the effectiveness of the method. © 2015 SERSC
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