Syntactic Parsing with Hierarchical Modeling

摘要：

This paper proposes a hierarchical model to parse both English and Chinese sentences.This is done byiteratively constructing simple constituents first,so that complex ones could be detected reliably with richer contextual information in the following processes.Evaluation on the Penn WSJ Treebank and the Penn Chinese Treebank using maximum entropy models shows that our method can achieve a good performance with more flexibility for future improvement.

关键词： syntactic parsing hierarchical modeling POSTagging.

作者: Junhui Li Guodong Zhou Qiaoming Zhu Peide Qian

作者单位: Jiangsu Provincial Key Lab of Computer Information Processing Technology School of Computer Science & Technology,Soochow University,China 215006

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 561-566

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）