An Error Driven Method to Improve Rules for the Recognition of Chinese Modality “LE

摘要：

We have a “Trinity way for the recognition of Chinese modality “LE, in which dictionary, usage rule base and usage corpora combine as the knowledge base. Handcrafted rules can hardly cover all usages in the real texts. So this paper proposes an error driven method for the automatic rules improvement. Experimental results show that, after the automatic rules improvement, the recognition precision of the modality “LE improves by over 1.85％.

关键词： functional words knowledge base Chinese modality error-driven method automatic rules improvement

作者: Yihui ZHOU Hongying ZAN Lingling MU Yingcheng YUAN

作者单位: College of Information and Engineering, Zhengzhou University, Zhengzhou, China Department of Compute College of Information and Engineering, Zhengzhou University, Zhengzhou, China

会议类型: 国际会议

会议名称: The 6th International Conference on Natural Language Processing and Knowledge Engineering(第六届IEEE自然语言处理与知识工程国际会议 NLP-KE 2010)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-21（万方平台首次上网日期，不代表论文的发表时间）