Stochastic Answer Networks for Natural Language Inference [article]

Xiaodong Liu, Kevin Duh, Jianfeng Gao
2019 arXiv   pre-print
We propose a stochastic answer network (SAN) to explore multi-step inference strategies in Natural Language Inference. Rather than directly predicting the results given the inputs, the model maintains a state and iteratively refines its predictions. Our experiments show that SAN achieves the state-of-the-art results on three benchmarks: Stanford Natural Language Inference (SNLI) dataset, MultiGenre Natural Language Inference (MultiNLI) dataset and Quora Question Pairs dataset.
arXiv:1804.07888v2 fatcat:ygxlvfrqxfhrdikiuuun3pfnwq