MEASURING SEMANTIC SIMILARITY WITHIN SENTENCES

摘要：

Sentence similarity measures have taken an increasingly important role in a variety of applications of text knowledge presentation and discovery. Current methods utilize only semantic or syntactic information. We propose a novel method to calculate sentence similarity, which takes into account both semantic information and word order. The experimental results show that our method outperforms existing methods.

关键词： Sentence similarity Semantic nets Corpus Natural language processing Word similarity

作者: XIAO-YING LIU YI-MING ZHOU RUO-SHI ZHENG

作者单位: School of Computer Science & Engineering, Beihang University, Beijing 100083, China CleNET Technologies (Beijing) Co., Ltd

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2558-2562

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）