mlsanityData to 14 Oct 2026

Task-oriented Dialogue Systems: performance vs. quality-optima, a review

arXiv 2112.11176 ↗First posted 21 Dec 2021cs.CL cs.AIcited by 3

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Abstract (arXiv)

Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full potential. TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority. Other conversational quality attributes that may point to the success, or otherwise, of the dialogue, may be ignored. This can cause interactions between human and dialogue system that leave the user dissatisfied or frustrated. This paper explores the literature on evaluative frameworks of dialogue systems and the role of conversational quality attributes in dialogue systems, looking at if, how, and where they are utilised, and examining their correlation with the performance of the dialogue system.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 22 of its 133 references that are in the map. First posted on arXiv 21 Dec 2021.

Builds on

22 of 133 references.

References · 22

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10 more
  1. 2017Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learningcited by 32
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.

3 papers.