Improving Natural Language Inference with a Pretrained Parser

Code

• github.com/dericp/syntactic-entailment
  OfficialIn paperpytorch★ 0

Abstract

We introduce a novel approach to incorporate syntax into natural language inference (NLI) models. Our method uses contextual token-level vector representations from a pretrained dependency parser. Like other contextual embedders, our method is broadly applicable to any neural model. We experiment with four strong NLI models (decomposable attention model, ESIM, BERT, and MT-DNN), and show consistent benefit to accuracy across three NLI benchmarks.

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Reproductions