SUBDIVIDING VERBS TO IMPROVE SYNTACTIC
PARSING
Liu Ting; Ma Jinshan; Zhang Huipeng; Li Sheng
【期刊名称】《《电子科学学刊（英文版）》》 【年(卷),期】2007(024)003
【摘要】This paper proposes a new way to improve the performance of dependency Parser:subdividing verbs according to their grammatical functions and integrating the information of verb subclasses into lexicalized parsing model.Firstly,the scheme of verb subdivision is described.Secondly,a maximum entropy model is presented to distinguish verb subclasses.Finally,a statistical parser is developed to evaluate the verb subdivision.Experimental results indicate that the use of verb subclasses has a good influence on parsing performance. 【总页数】6页(347-352)
【关键词】Verb subdivision; Maximum entropy model; Syntactic parsing; Natural language processing
【作者】Liu Ting; Ma Jinshan; Zhang Huipeng; Li Sheng
【作者单位】Information Retrieval Lab Harbin Institute of Technology Harbin 150001 China 【正文语种】中文 【中图分类】TN912.3 【相关文献】
SUBDIVIDING VERBS TO IMPROVE SYNTACTIC PARSING
