An end-to-end dialog system for TV program discovery

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 management, and inference large-scale knowledge graphs. We evaluation of our with real users, found performed well along dimensions usability task success rate. These results demonstrate the effectiveness in target domain.