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arXiv 2202.01155cs.CL
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Slurk交互服务器框架:更好的数据,更好的对话模型

The slurk Interaction Server Framework: Better Data for Better Dialog Models

University of Potsdam(波茨坦大学)

Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen

摘要:

本文介绍了slurk软件,一个轻量级的交互服务器,用于建立对话数据汇集和运行实验。Slurk支持多种设置,包括两个或多个人或人与机器人之间基于文本的语音和视频交互,以及用于呈现共享或私人交互上下文的多模式显示区域。该软件是用Python实现的,带有HTML和JS前端,可以很容易地适应个人需求。它还提供了一个在常见的众包平台上配对参与者的设置,例如Amazon Mechanical Turk和一些常见交互场景的示例机器人脚本。

英文摘要:

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.

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。

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