Graph-based Text Representation Model and its Realization

摘要：

In this paper, on the foundation of summarizing several common used text representation models, such as Boolean model, probability model, vector space model and so on, mainly according to the defects of the vector space model, the word semantic space is proposed. And in the word semantic space, a graph-based text representation model is designed. Some properties of this type of text representation model have been given, and this model can describe the words semantic constraints in the text. At the same time, this model can also solve the defects of vector space model, such as the order or words, the boundary between sentences and phrases, etc. And at last the method of computing the text similarity is put forward.

关键词： Text representation word semantic space graph text similarity weak equivalence relation

作者: Faguo ZHOU Fan ZHANG Bingru YANG

作者单位: School of Mechanical Electronic and　Information Engineering　University of Mining and Technology, Bei School of Information Engineering University of Science and Technology Beijing Beijing, 100083, Chin

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: 1-8

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）