A Semantic Processing Model for Sentence Understanding based on Cognitive Learning

摘要：

Sentence has a very prominent position in the research field of Natural Language Understanding. The task of sentence understanding includes two stages, sentence parsing and semantic processing. Sentence parsing resides in the fundamental level, while semantic understanding involves lexcial and higher discourse analysis. As sentence understanding has compact connections with human cognition, this paper will introduce how cognitive models are integrated, with machine learning algorithms (or models), into the procedures of sentence parsing and semantic processing.

关键词： Sentence understanding Cognitive learning Semanfic processing

作者: Yi Guo Yan Li Zhiqing Shao

作者单位: Department of Computer Science and Engineering East China University of Science and Technology Shang School of Foreign Languages East China University of Science and Technology Shanghai 200237, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Information and Education Technology(ICIET 2011)(2011年信息和教育技术国际会议)

会议地点: 贵阳

会议语种:英文

页码: 106-110

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）