王臻,常宝宝,穗志方. 基于分层输出神经网络的汉语语义角色标注[J]. 中文信息学报, 2014, 28(6): 56-61.
WANG Zhen, CHANG Baobao, SUI Zhifang. Chinese Semantic Role Labeling Based on Neural Network with Optimized Output Layer. , 2014, 28(6): 56-61.
Abstract:Semantic role labeling is an important task in Chinese natural language processing. Using feature based statistical machine learning to perform semantic role labeling is the mainstream method nowadays, denpeding heavily on manually designed features. This paper investigates semantic role labeling based on deep neural nets, which can learn features automatically. Experimental results show that our algorithm is promising. However, it cannot reach conventional machine learning methods with manually designed features yet.
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