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README.md
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license: mit
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---
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---
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license: mit
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task_categories:
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- text-classification
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language:
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- en
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pretty_name: Dialogue NLI
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size_categories:
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- 1M<n<10M
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---
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This dataset serves as a convenient way to access the ParlAI dialogue NLI dataset. I do not own the rights and all credit go to the original authors.
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# Dialogue Natural Language Inference
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Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho
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arxiv link: https://arxiv.org/abs/1811.00671
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Abstract: Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natural language inference dataset called Dialogue NLI. We propose a method which demonstrates that a model trained on Dialogue NLI can be used to improve the consistency of a dialogue model, and evaluate the method with human evaluation and with automatic metrics on a suite of evaluation sets designed to measure a dialogue model’s consistency.
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### Citation
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```
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@misc{welleck2019dialogue,
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title={Dialogue Natural Language Inference},
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author={Sean Welleck and Jason Weston and Arthur Szlam and Kyunghyun Cho},
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year={2019},
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eprint={1811.00671},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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