activity
20202026
most citedSupervising Model Attention with Human Explanations for Robust Natural Language Inference

7 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 1 cited

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

Joe Stacey, Pasquale Minervini, Haim Dubossarsky +2

Natural Language Inference (NLI) datasets contain annotation artefacts resulting in spurious correlations between the natural language utterances and their respective entailment cl…