# Natural Language Inference by Tree-Based Convolution and Heuristic Matching

arXiv: https://arxiv.org/abs/1512.08422 · HTML: https://mlsanity.com/paper/1512.08422/

## Key facts

- Cited by 43 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Dec 2015.

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## Abstract (arXiv)

In this paper, we propose the TBCNN-pair model to recognize entailment and contradiction between two sentences. In our model, a tree-based convolutional neural network (TBCNN) captures sentence-level 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.