Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation
<|reference_start|>Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation: We explore question generation in the context of knowledge-grounded dialogs focusing on explainability and evaluation. Inspired by previous work on planning-based summarisation, we present a model which instead of directly generating a question, sequentially predicts first a fact then a question. We evaluate our approach on 37k test dialogs adapted from the KGConv dataset and we show that, although more demanding in terms of inference, our approach performs on par with a standard model which solely generates a question while allowing for a detailed referenceless evaluation of the model behaviour in terms of relevance, factuality and pronominalisation.<|reference_end|>
@article{faille2024question,
    title={Question Generation in Knowledge-Driven Dialog: Explainability and
  Evaluation},
    author={Juliette Faille, Quentin Brabant, Gwenole Lecorve, Lina M.
  Rojas-Barahona, Claire Gardent},
    journal={arXiv preprint arXiv:2404.07836},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.07836},
    primaryClass={cs.CL}
}