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口语对话系统的不确定性条件下的规划中的应用

Spoken Dialog Systems as an Application of Planning under Uncertainty
课程网址: http://videolectures.net/icaps2011_williams_uncertainty/  
主讲教师: Jason D. Williams
开课单位: AT&T实验室公司
开课时间: 2011-07-21
课程语种: 英语
中文简介:
口语对话系统是不确定性下规划的典型例子。在口语对话系统中,计算机试图用口语作为通信媒介来帮助一个人完成某事。一个关键的挑战是语音识别错误无处不在且无法可靠地检测到,因此对话的状态永远无法确定。另一个挑战是人们没有确定性的行为。尽管存在这些挑战,但系统必须选择行动以实现长期目标。因此,决策理论提出了一种建立口语对话系统的有吸引力的方法。关于“玩具”的初步工作对话系统验证了好处,但也发现直接的表述无法扩展到现实世界的问题。许多研究团队的后续工作已经展示了如何扩展到工业规模系统,如何结合高保真用户模拟,以及如何通过自动优化来合成商业开发实践。本次演讲追溯了这种不确定性规划应用的演变,对工业应用进展的评论,并提出了与对不确定性规划感兴趣的研究人员相关的未来研究途径。
课程简介: Spoken dialog systems present a classic example of planning under uncertainty. In a spoken dialog system, a computer is trying to help a person accomplish something, using spoken language as the communication medium. A key challenge is that speech recognition errors are ubiquitous and impossible to detect reliably, so the state of the conversation can never be known with certainty. Another challenge is that people do not behave deterministically. Despite these challenges, the system must choose actions to make progress to a long term goal. As such, decision theory presents an attractive approach to building spoken dialog systems. Initial work on "toy" dialog systems validated benefits, but also found that straightforward formulations could not scale to real-world problems. Subsequent work by a number of research teams has shown how to scale to industrial-scale systems, how to incorporate high-fidelity user simulations, and how to synthesize commercial development practices with automatic optimization. This talk traces the evolution of this application of planning under uncertainty, comments on progress toward use in industry, and suggests future avenues of research relevant to researchers interested in planning under uncertainty.
关 键 词: 口语对话系统; 决策理论; 计算机
课程来源: 视频讲座网
最后编审: 2020-06-27:yumf
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