Jointly Considering Siamese Network and MatchPyramid Network for Text Semantic Matching

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Tang, Zhoulin^1 ; Li, Jian^1

School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China^1

关键词: Semantic matching;    Semantic network;    Text-matching;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042043/pdf
DOI  :  10.1088/1757-899X/490/4/042043

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

When users ask questions in the Q&A website, the Q&A website often recommends similar questions to users. In order to improve the accuracy of recommendation, we propose a new text matching model: a text matching model based on Siamese semantic network and MatchPyramid model. Specifically, the algorithm combines the advanced features of Siamese semantic network with MatchPyramid model, and use these advanced features for classification. We compare our proposed model with several other models on the dataset provided by Quora and Alibaba. The results show that our proposed model performs better than other models.