Semantic Similarity Computation Based on HowNet2008

摘要：

Semantic similarity is a fundamental concept and widely researched and used in the fields of natural language processing. By analyzing the definition of the concept in HowNet2008, this paper proposes a new method of semantic similarity calculation. The concepts are classified into three classes: simple concept; complex concept and combined concept. To different concept, we design different method and then transform the similarity calculation of concept into the similarity calculation of the sememe. The similarity of the smeme is computed by the hyponymy of the sememe in the sememe tree. Experiments show the new approach is effective to the similarity calculation and out-performs the conventional computed approaches.

关键词： HowNet2008 semantic similarity computation natural language processing

作者: Keliang JIA Jibin FU Xiaoyu JIANG Jintao MAO

作者单位: School of Computer Science and Technology,Beijing Institute of Technology,Beijing,China;School of Co School of Computer Science and Technology,Beijing Institute of Technology,Beijing,China Business School,Beijing Institute of Clothing Technology,Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）