在闲聊与任务导向对话之间由系统发起转换的统一对话模型
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues
AI总结：
本文提出两种提示模型（离散与连续），在统一对话模型中主动生成过渡句，实现闲聊与任务导向对话之间由系统发起的模式切换，并支持多领域任务导向场景下的主动领域转换。
摘要：
口语对话系统（SDS）一直被分别开发为两个不同类别：任务导向型和闲聊型。前者侧重于实现功能性目标，后者旨在创造引人入胜的、没有特定目标的社交对话。创建一个既能进行闲聊又能进行任务导向对话的统一对话模型，是近年来一个有前景的研究课题。然而，在一次对话中对话模式发生变化时可能出现的“主动性”却很少被探索。在这项工作中，我们研究了两种对话场景：一种从闲聊开始，隐式涉及任务相关话题，最终切换到任务导向请求；另一种从任务导向交互开始，在所有请求的信息提供完毕后最终转变为随意聊天。我们贡献了两种高效的提示模型，它们能够主动生成一个过渡句，以在统一对话模型中触发由系统发起的转换。一种是使用两个离散标记训练的离散提示模型，另一种是使用由分类器自动生成的连续提示嵌入的连续提示模型。我们进一步表明，连续提示模型还可以用于在多领域任务导向设置中引导特定领域之间的主动转换。
英文摘要：
Spoken dialogue systems (SDSs) have been separately developed under two different categories, task-oriented and chit-chat. The former focuses on achieving functional goals and the latter aims at creating engaging social conversations without special goals. Creating a unified conversational model that can engage in both chit-chat and task-oriented dialogue is a promising research topic in recent years. However, the potential ``initiative'' that occurs when there is a change between dialogue modes in one dialogue has rarely been explored. In this work, we investigate two kinds of dialogue scenarios, one starts from chit-chat implicitly involving task-related topics and finally switching to task-oriented requests; the other starts from task-oriented interaction and eventually changes to casual chat after all requested information is provided. We contribute two efficient prompt models which can proactively generate a transition sentence to trigger system-initiated transitions in a unified dialogue model. One is a discrete prompt model trained with two discrete tokens, the other one is a continuous prompt model using continuous prompt embeddings automatically generated by a classifier. We furthermore show that the continuous prompt model can also be used to guide the proactive transitions between particular domains in a multi-domain task-oriented setting.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
