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.

翻译：近期，任务导向型对话（TOD）通过引入闲聊内容得到了丰富，旨在使对话更加多样化和引人入胜。这一增强尤为珍贵，因为TOD通常局限于狭窄领域，使得缓解重复性和可预测性响应成为一项重大挑战。本文对三种闲聊增强方法进行了比较分析，旨在从多样性角度识别最有效的方法。此外，我们量化了新增闲聊、原始任务导向语言以及闲聊数据集中典型闲聊之间的差异，突出了每次比较中前20个差异最大的关键词。研究结果推动了关于未来增强TOD的讨论，强调了在任务之外奠定对话基础对于实现更自然、更多样化交流的重要性。