Building intelligent dialog systems

S. McRoy, Syed S. Ali, Angelo C. Restificar, S. Channarukul
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引用次数: 15

Abstract

We overview our recent work in specifying and building intelligent dialog systems that collaborate with users for a task. As part of this work we have specied and built systems for: giving medical students an opportunity to practice their decision making skills in English (B2); performing template-based natural language generation (YAG); detecting and rebutting arguments (ARGUER); recognizing and repairing misunderstandings (RRM); and assessing and augmenting patients’ health knowledge (PEAS). All of these systems make use of rich models of dialog for human-computer communication.
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构建智能对话系统
我们概述了我们最近在指定和构建与用户协作完成任务的智能对话系统方面的工作。作为这项工作的一部分,我们已经制定并建立了以下系统:给医学生一个用英语练习决策技能的机会(B2);执行基于模板的自然语言生成(YAG);发现和反驳论点(ARGUER);识别和修复误解(RRM);评估和增加患者的健康知识(pea)。所有这些系统都利用丰富的对话模型进行人机交流。
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