计算机工程2012，Vol.38Issue(1)：171-173,3.DOI:10.3969/j.issn.1000-3428.2012.01.054
基于多特征融合的句子语义相似度计算
Sentence Semantic Similarity Calculation Based on Multi-feature Fusion
摘要
Abstract
The traditional sentence semantic similarity computing approaches usually only focus on one feature of a sentence and result in imbalance between the recall and the accuracy. Therefore, this paper describes a method for semantic similarity computation based on the Multi-feature of a Sentence(MFS). It is integrating more features of the weights of words, word semantics and sentence structure. The result of experiment show that compared with Jaccard coefficient method, the MI'S method increased for comprehensive index F-measure. In a case-based question answering system the MRR value of the presented method is higher than other compared methods.关键词
句子相似度/多特征/词权重/知网/问答系统Key words
sentence similarity/ multi-feature/ word weight/ HowNet/ question answering system分类
信息技术与安全科学引用本文复制引用
赵臻,吴宁,宋盼盼..基于多特征融合的句子语义相似度计算[J].计算机工程,2012,38(1):171-173,3.基金项目
陕西省科技攻关计划基金资助项目(2009K01-41) （2009K01-41）
