Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Gang Jin · 2016
In this paper, we propose the TBCNNpair model to recognize entailment and contradiction between two sentences.In our model, a tree-based convolutional neural network (TBCNN) captures sentencelevel semantics; then heuristic matching layers like concatenation, element-wise product/difference combine the information in individual sentences.Experimental results show that our model outperforms existing sentence encoding-based approaches by a large margin.