Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation

• URL: http://arxiv.org/abs/2404.07836v1
• Date: Thu, 11 Apr 2024 15:24:50 GMT
• Title: Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation
• Authors: Juliette Faille, Quentin Brabant, Gwenole Lecorve, Lina M. Rojas-Barahona, Claire Gardent,
• Abstract summary: 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.
• Score: 5.598219914856067
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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