• Corpus ID: 249049412

Examining Single Sentence Label Leakage in Natural Language Inference Datasets

@inproceedings{Saxon2021ExaminingSS,
  title={Examining Single Sentence Label Leakage in Natural Language Inference Datasets},
  author={Michael Stephen Saxon and Xinyi Wang and Wenda Xu and William Yang Wang},
  year={2021}
}
Many believe human-level natural language inference (NLI) has already been achieved. In reality, modern NLI benchmarks have serious flaws, rendering progress questionable. Chief among them is the problem of single sentence label leakage , where spurious correlations and biases in datasets enable the accurate prediction of a sentence pair relation from only a single sentence, something that should in princi-ple be impossible. This leakage enables models to cheat rather than learn the desired… 

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