客服系統、聊天機器人、智慧音箱等對話系統需要有標記的對話語料進行模型訓練。然而如何快速有效地收集對話語料，是建構對話系統必須面對的問題。現有任務導向系統主要以餐廳、旅館、機票訂位為主，尚無個人虛擬助理提供傳送訊息、建立活動等事務性服務之對話語料。本篇論文仿照 CrossWOZ 收集對話語料的方法，透過任務生成及對話網站介面設計，讓標記人員模擬用戶與虛擬助理對話情境，建立一個能夠處理電子郵件、管理行事曆、以及傳遞訊息等三種服務的對話語料集（稱為MsgWOZ）。期望此語料為中文虛擬助理對話系統奠定發展基石。 標記系統和資料集已開源至https:// github.com/TedYeh/messageWOZ。

Task-oriented dialog systems require labeled corpus for model training. However, in the face of new services, how to effectively collect dialogue corpus is a problem that must be faced in the construction of dialogue systems. Existing task-oriented systems mainly focus on reservations for restaurants, hotels, and airline tickets. There is no dialogue corpus for virtual assistants that could provide transactional services such as sending messages and creating events. This paper imitates the method of collecting dialogue datasets from CrossWOZ to allow annotators to simulate user and virtual assistant dialogue scenarios through a dialogue website interface, creating a dialogue dataset that can handle three services: email management, calendar management, and message delivery. It is expected that this corpus will lay the foundation for the development of Chinese virtual assistant dialogue system. The annotation system and dataset have been open-sourced at https://github.com/TedYeh/messageWOZ.

任務導向對話系統（TOD）;對話語料庫建構;Wizard-of-Oz（WOZ）;Msg-WOZ

Task-orient Dialogue Systems (TOD); Dialog Corpus Construction; Wizard-of-Oz (WOZ); Msg-WOZ