北京大学学报（自然科学版）2018，Vol.54Issue(3)：481-486,6.DOI:10.13209/j.0479-8023.2017.169
一种基于Tree-LSTM的句子相似度计算方法
An Approach of Sentence Similarity on Tree-LSTM
摘要
Abstract
Based on the shallow tree and dependency tree, the authors introduce the structural representations, NPST (new phrase-based shallow tree) and NPDT (new phrase-based dependency tree) to Tree-LSTM to com-pute sentence similarity. Experimental results manifest that the proposed approach achieves a higher perfor-mance than the baseline.关键词
句子相似度计算/Tree-LSTM/结构化特征Key words
sentence similarity computation/Tree-LSTM/structural representations分类
信息技术与安全科学引用本文复制引用
杨萌,李培峰,朱巧明..一种基于Tree-LSTM的句子相似度计算方法[J].北京大学学报（自然科学版）,2018,54(3):481-486,6.基金项目
国家自然科学基金(61472265,61772354)资助 （61472265,61772354）
