论文标题

Emora STDM:创新对话系统开发的多功能框架

Emora STDM: A Versatile Framework for Innovative Dialogue System Development

论文作者

Finch, James D., Choi, Jinho D.

论文摘要

该演示论文介绍了Emora STDM(州过渡对话经理),这是一个对话系统开发框架,为快速的基于聊天的对话经理的快速原型制作提供了新颖的工作流程以及复杂互动的协作开发。我们的框架通过支持两种流行的方法,即状态机和信息状态,到对话管理之间的互操作性来满足广泛的专业水平。我们的自然语言表达软件包允许将模式匹配,自定义NLP模块和数据库查询的无缝集成,从而使工作流程更加有效。作为一项用户研究,我们将此框架采用了跨学科的本科课程,在该课程中,具有技术和非技术背景的学生能够在短时间内发展创意对话经理。

This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions. Our framework caters to a wide range of expertise levels by supporting interoperability between two popular approaches, state machine and information state, to dialogue management. Our Natural Language Expression package allows seamless integration of pattern matching, custom NLP modules, and database querying, that makes the workflows much more efficient. As a user study, we adopt this framework to an interdisciplinary undergraduate course where students with both technical and non-technical backgrounds are able to develop creative dialogue managers in a short period of time.

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