As a recent development, task-oriented dialogues (TODs) have been enriched
with chitchat in an effort to make dialogues more diverse and engaging. This
enhancement is particularly valuable as TODs are often confined to narrow
domains, making the mitigation of repetitive and predictable responses a
significant challenge. This paper presents a comparative analysis of three
chitchat enhancements, aiming to identify the most effective approach in terms
of diversity. Additionally, we quantify the divergence between the added
chitchat, the original task-oriented language, and chitchat typically found in
chitchat datasets, highlighting the top 20 divergent keywords for each
comparison. Our findings drive a discussion on future enhancements for
augmenting TODs, emphasizing the importance of grounding dialogues beyond the
task to achieve more diverse and natural exchanges.

本论文通过比较分析三种闲聊增强方法，旨在确定多样性方面最有效的方法。此外，我们量化了增加的闲聊、原始任务导向语言和闲聊数据集中典型闲聊之间的差异，突出每个比较中的前 20 个差异关键词。我们的研究结果为增强任务导向对话提供了未来改进的讨论，强调了超越任务的对话基础对实现更多样化和自然化的交流的重要性。