Stochastic Answer Networks for Natural Language Inference

Code

• github.com/kevinduh/san_mrc
  pytorch★ 0
• github.com/Xaniar87/SAN_SQuAD2
  pytorch★ 0
• github.com/yongbowin/san_mrc_annotation
  pytorch★ 0

Abstract

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.

Tasks

Benchmark Results

Reproductions