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Spoken Dialog Systems as an Application of Planning under UncertaintySpoken Dialog Systems as an Application of Planning under Uncertainty |
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| 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: | 2011-07-11 |
| 课程语种: | 英语 |
| 中文简介: |  口语对话系统是不确定性下计划的经典示例。在口语对话系统中，计算机正在尝试使用口语作为沟通媒介来帮助人们完成某件事。一个关键的挑战是语音识别错误无处不在并且无法可靠地检测出来，因此永远无法确定地知道对话的状态。另一个挑战是人们的行为方式不具有确定性。尽管存在这些挑战，系统仍必须选择行动以实现长期目标。因此，决策理论为构建口语对话系统提供了一种有吸引力的方法。关于“玩具”对话框系统的初步工作证实了其好处，但同时也发现，简单的公式无法解决现实世界中的问题。许多研究团队的后续工作表明了如何扩展到工业规模的系统，如何结合高保真度的用户模拟以及如何通过自动优化来综合商业开发实践。这篇演讲追溯了在不确定性条件下进行规划的应用的演变，对工业应用的进展进行了评论，并提出了与对不确定性条件下进行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: | 决策理论; 口语对话 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-05-08：zyk |
| 最后编审: | 2021-05-08：zyk |
| 阅读次数: | 25 |