Corpus ID: 233481654

Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark

@article{Dziri2021EvaluatingGI,
  title={Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark},
  author={Nouha Dziri and Hannah Rashkin and Tal Linzen and D. Reitter},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.00071}
}
Knowledge-grounded dialogue agents are systems designed to conduct a conversation based on externally provided background information, such as a Wikipedia page. Such dialogue agents, especially those based on neural network language models, often produce responses that sound fluent but are not justified by the background information. Progress towards addressing this problem requires developing automatic evaluation metrics that can quantify the extent to which responses are grounded in… Expand

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