利用转换信息提取器与转换语句生成器实现从闲聊到任务导向对话的系统发起式转换
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator
AI总结：
本文提出转换信息提取器TIE和转换语句生成器TSG，使统一对话模型能在闲聊中自动识别任务意图并主动生成转换语句，实现从闲聊到任务导向对话的连贯切换。
摘要：
在这项工作中，我们研究从闲聊开始但最终切换到任务相关服务的对话场景，并探讨一个既能参与闲聊又能参与任务导向对话的统一对话模型，如何在从闲聊到任务导向的对话模式转换过程中以连贯和合作的方式主动发起转换。我们首先构建了一个转换信息提取器（TIE），用于跟踪先前的闲聊交互，并检测用户切换到任务导向服务的潜在意图。同时，在统一模型中，通过高效的 Adapter 微调和转换提示学习扩展了一个转换语句生成器（TSG）。当 TIE 成功从先前的闲聊中发现任务相关信息（例如转换领域）时，统一模型中的 TSG 会被自动激活，在 TIE 提取的转换信息指导下生成转换语句，从而主动发起这一转换。实验结果表明，在主动转换方面取得了令人鼓舞的性能。通过利用条件随机场（CRF），我们在 TIE 模型上进一步获得了大幅提升。TSG 能够灵活地生成转换语句，同时保持正常闲聊和任务导向响应生成的统一能力。
英文摘要：
In this work, we study dialogue scenarios that start from chit-chat but eventually switch to task-related services, and investigate how a unified dialogue model, which can engage in both chit-chat and task-oriented dialogues, takes the initiative during the dialogue mode transition from chit-chat to task-oriented in a coherent and cooperative manner. We firstly build a {transition info extractor} (TIE) that keeps track of the preceding chit-chat interaction and detects the potential user intention to switch to a task-oriented service. Meanwhile, in the unified model, a {transition sentence generator} (TSG) is extended through efficient Adapter tuning and transition prompt learning. When the TIE successfully finds task-related information from the preceding chit-chat, such as a transition domain, then the TSG is activated automatically in the unified model to initiate this transition by generating a transition sentence under the guidance of transition information extracted by TIE. The experimental results show promising performance regarding the proactive transitions. We achieve an additional large improvement on TIE model by utilizing Conditional Random Fields (CRF). The TSG can flexibly generate transition sentences while maintaining the unified capabilities of normal chit-chat and task-oriented response generation.
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。
