Measuring Similarity between Sentence Fragments
Sentence fragment has a wide range of applications, such as short text mining, flow diagram search based on label similarity and so on. Existing methods arent entirely appropriate for measuring similarity between sentence fragments since they were originally designed for complete sentences or long texts. So we pay more attention to proper nouns which carry important information in sentence fragments. We then propose a novel measuring method applicable for sentence fragments or even short sentences. It calculates the similarity based on the edit distance model instead of traditional vector space model. Besides, manual weight factors are introduced in order to meet the needs of different situations. Our experiments demonstrate that our method outperforms existing methods.
Sentence fragment measuring similarity edit distance proper nouns degree of matching
Guangyuan Huang Jianqiang Sheng
National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Hom Shenzhen Digital Home Key Technology Engineering Laboratory, Shenzhen Key Laboratory of Digital Livi
国际会议
南昌
英文
327-330
2012-08-26（万方平台首次上网日期，不代表论文的发表时间）