论文标题
Slurk交互服务器框架：更好的数据，用于更好的对话框模型
The slurk Interaction Server Framework: Better Data for Better Dialog Models
论文作者
论文摘要
本文介绍了Slurk软件，这是一个轻巧的交互服务器，用于设置对话数据收集和运行实验。 Slurk可以实现多种设置，包括两个或多个人类或人类和机器人之间的基于文本的，语音和视频互动，以及用于展示共享或私人交互式上下文的多模式显示区域。该软件是在Python中使用HTML和JS Frontend实施的，可以轻松适应个人需求。它还为在常见的人群平台上的参与者（例如亚马逊机械土耳其人）和一些常见互动场景的示例机器人脚本配对提供了设置。
This paper presents the slurk software, a lightweight interaction server for setting up dialog data collections and running experiments. Slurk enables a multitude of settings including text-based, speech and video interaction between two or more humans or humans and bots, and a multimodal display area for presenting shared or private interactive context. The software is implemented in Python with an HTML and JS frontend that can easily be adapted to individual needs. It also provides a setup for pairing participants on common crowdworking platforms such as Amazon Mechanical Turk and some example bot scripts for common interaction scenarios.
