• Corpus ID: 52182179

Transforming Question Answering Datasets Into Natural Language Inference Datasets

@article{Demszky2018TransformingQA,
  title={Transforming Question Answering Datasets Into Natural Language Inference Datasets},
  author={Dorottya Demszky and Kelvin Guu and Percy Liang},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.02922}
}
Existing datasets for natural language inference (NLI) have propelled research on language understanding. We propose a new method for automatically deriving NLI datasets from the growing abundance of large-scale question answering datasets. Our approach hinges on learning a sentence transformation model which converts question-answer pairs into their declarative forms. Despite being primarily trained on a single QA dataset, we show that it can be successfully applied to a variety of other QA… 

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