杨 敏,常宝宝. 基于北京大学中文网库的语义角色分类[J]. 中文信息学报, 2011, 25(2): 3-9.
YANG Min,CHANG Baobao. Semantic Role Classification Based on Peking University Chinese NetBank. , 2011, 25(2): 3-9.
Semantic Role Classification Based on Peking University Chinese NetBank
YANG Min,CHANG Baobao
Institute of Computational Linguistics, Peking University, Beijing 100871, China; Key Laboratory of Computational Linguistics,Ministry of Education, Beijing 100871, China
Abstract：Among all the researches on semantic role labeling(SRL), one important method which has been carried out by many researchers is to convert the task into a classification problem by selecting features, and thenapplying different kinds of classifiers .While almost all the researches based on this kind of supervised learning have been done on the same corpus-Penn Proposition Bank, here we test the same method on a new corpus—Peking University Chinese NetBank, with the goal to figure out whether the wildly used features have a strong dependence on corpus. The experiments have shown that the method and the features have good performance on the new corpus . And compared to the PropBank, some features play crucial roles in classification on the new corpus. Key wordssemantic role labeling; Peking University Chinese NetBank; sequence labeling
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2011, Vol. 25 
