Discrete and Neural Models for Chinese POS Tagging: Comparison and Combination

摘要：

　　Discrete and Neural models are two mainstream methods for Chinese POS tagging nowadays.Both have achieved state-of-the-art performances.In this paper,we compare the two kinds of models empirically,and further investigate the combination methods of them.In particular,as the pre-trained word embeddings are exploited under the neural set-ting,one can regard neural models as semi-supervised setting.To make a fairer comparison of the discrete and the neural models,we incorporate word clusters for both models as well as their combination,since it has been generally accepted that word clusters can encode similar information as pretrained word embeddings.

关键词： Neural Networks Combination Model POS Tagging

作者: Meishan Zhang Nan Yu Guohong Fu

作者单位: School of Computer Science and Technology,Heilongjiang University,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-10

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）