Statistical dialog management applied to WFST-based dialog systems
Statistical dialog management applied to WFST-based dialog systems
复制标题
统计对话管理应用于基于 WFST 的对话系统
DOI：
10.1109/icassp.2009.4960703
复制
发表时间：
2009
期刊：
影响因子：
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通讯作者：
Satoshi Nakamura
中科院分区：
文献类型：
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作者：
Chiori Hori;Kiyonori Ohtake;Teruhisa Misu;H. Kashioka;Satoshi Nakamura
我们已经提出了一个可扩展的对话场景描述和平台来管理对话系统使用加权有限状态传感器（WFST），其中用户的概念和系统动作标签的输入和输出的换能器，分别。在本文中，我们将此框架应用于统计对话管理，其中对话策略是从酒店预订的人与人之间的对话语料库中获得的。一个场景WFST对话管理自动创建从一个N元模型的标签序列，在语料库中标注的交换格式（IF）。此外，口语理解（SLU）的词到概念WFST从同一语料库中获得。将获得的场景WFST和SLU WFST组合在一起，然后进行优化。我们评估了所提出的基于WFST的统计对话管理的正确性，以检测下一个系统的动作，并已确认自动获取的对话场景从语料库可以管理对话合理的基于WFST的对话管理平台。
We have proposed an expandable dialog scenario description and platform to manage dialog systems using a weighted finite-state transducer (WFST) in which user concept and system action tags are input and output of the transducer, respectively. In this paper, we apply this framework to statistical dialog management in which a dialog strategy is acquired from a corpus of human-to-human conversation for hotel reservation. A scenario WFST for dialog management was automatically created from an N-gram model of a tag sequence that was annotated in the corpus with Interchange Format (IF). Additionally, a word-to-concept WFST for spoken language understanding (SLU) was obtained from the same corpus. The acquired scenario WFST and SLU WFST were composed together and then optimized. We evaluated the proposed WFST-based statistic dialog management in terms of correctness to detect the next system actions and have confirmed the automatically acquired dialog scenario from a corpus can manage dialog reasonably on the WFST-based dialog management platform.