AN END-TO-END DIALOG SYSTEM FOR TV PROGRAM DISCOVERY

被引：0
|
作者：
Ramachandran, Deepak [1 ]
Yeh, Peter Z. [1 ]
Jarrold, William [1 ]
Douglas, Benjamin [1 ]
Ratnaparkhi, Adwait [1 ]
Provine, Ronald [1 ]
Mendel, Jeremy [1 ]
Emfield, Adam [1 ]
机构：
[1] Nuance Commun, Sunnyvale, CA 94085 USA
来源：
2014 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY SLT 2014 | 2014年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an end-to-end dialog system for TV program discovery that uniquely combines several technologies such as trainable relation extraction, belief tracking over relational structures, mixed-initiative dialog management, and inference over large-scale knowledge graphs. We present an evaluation of our end-to-end system with real users, and found that our system performed well along several dimensions such as usability and task success rate. These results demonstrate the effectiveness of our system in the target domain.
引用
收藏
页码：602 / 607
页数：6
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