A Transformation-Based Error-Driven Learning Approach for Chinese Temporal Information Extraction

摘要：

Temporal information processing plays an important role in many application areas such as information retrieval,question answering,machine translation,and text summarization.This paper proposes a transformation-based error-driven learning approach to extracting temporal expressions from Chinese unstructured texts.The temporal expression annotator used in the approach is developed based on a Chinese time ontology,which includes concepts of temporal expressions and their taxonomical relations.Experiments in three domains show that our algorithm obtained promising results.

关键词： temporal information extraction Chinese temporal expressions transformation-based error-driven learning

作者: Chunxia Zhang Cungen Cao Zhendong Niu Qing Yang

作者单位: School of Computer Science and Technology,Beijing Institute of Technology,Beijing 100081,China Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080,China

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: 663-669

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）