计算机工程与应用Issue(3)：97-102,6.DOI:10.3778/j.issn.1002-8331.1203-0719
基于HNC理论和依存句法的句子相似度计算
New measure of sentences similarity based on hierarchical network of concepts theory and dependency parsing
摘要
Abstract
Sentences similarity is one of the several important tasks in natural language processing. A novel measure method based on Hierarchical Network of Concepts(HNC)theory and dependency parsing in natural language processing is put forward to compute the semantic similarity. The meaning of a sentence is made up of the meanings of its individual words and the structural way the words are combined, and semantic information is obtained from HNC theory, and the syntactic information is obtained through a deep parsing process, and it is compared with the current popular methods and subjective judgment of human. Experiment shows that the method has a good performance, which can distinguish the dif-ferences between different sentences more accurately.关键词
概念层次网络/依存句法/句子相似度/自然语言处理Key words
Hierarchical Network of Concepts(HNC)/dependency parsing/sentence similarity/natural language processing分类
信息技术与安全科学引用本文复制引用
吴佐衍,王宇..基于HNC理论和依存句法的句子相似度计算[J].计算机工程与应用,2014,(3):97-102,6.基金项目
国家自然科学基金（No.70890083）；教育部人文社科基金（No.09YJA870005）。 （）
