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	Chinese abbreviation-definition identification: A SVM approach using context information
	Sun, Xu ; Wang, Houfeng ; Zhang, Yu
	2006
英文摘要	As a special form of unknown words, Chinese abbreviations represent significant problems for Chinese text processing. The goal of this study is to automatically find the definition for a Chinese abbreviation in the context where both the abbreviation and its definition occur, enforcing the constraint of one sense per discourse for an abbreviation. First, the candidate abbreviation-definition pairs are collected, and then a SVM approach using context information is employed to classify candidate abbreviation-definition pairs so that the pairs can be identified. The performance of the approach is evaluated on a manually annotated test corpus, and is also compared with two other machine learning approaches: Maximum Entropy and Decision Tree. Experimental results show that our approach reaches a good performance. ? Springer-Verlag Berlin Heidelberg 2006.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/328095]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Sun, Xu,Wang, Houfeng,Zhang, Yu. Chinese abbreviation-definition identification: A SVM approach using context information. 2006-01-01.

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