Titlebook: Informatics and Management Science II; Wenjiang Du Conference proceedings 2013 Springer-Verlag London 2013 Informatics and Management Scie

伙伴

Jindong Weid be helpful. Although a neural-based approach can be used, it requires a vast amount of dialogue data, which would take too much effort to collect in the case of a system for a specific, fixed-length dialogue. Furthermore, the system design should explicitly consider errors in automatic speech reco

Fester

Xiangyang You,Xiangsheng Rong,Fujiang Huo,Ming Xu,Yuanzheng Zhangnable smooth processing throughout the human-computer interaction. This paper is concerned with the user’s intent, and focuses on out-of-scope intent classification in dialog systems. Although user intents are highly correlated with the application domain, few studies have exploited such correlation

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構(gòu)想

Xiaofeng Luo,Chuanteng Lu,Zhichang Chend be helpful. Although a neural-based approach can be used, it requires a vast amount of dialogue data, which would take too much effort to collect in the case of a system for a specific, fixed-length dialogue. Furthermore, the system design should explicitly consider errors in automatic speech reco

reflection

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Yejun Xu,Huacheng Qi. Unfortunately, this is time-consuming and expensive. The study of AM-FM (Adequacy Metric - Fluency Metric) suggests an automatic evaluation metric, that achieves good performance in terms of correlation with human judgements. AM-FM framework intends to measure the quality of dialogue generation al

BLANC

Diuretic

Pengfei Xuf specific subjective features for Virtual Home Assistant spoken dialogue systems. Eight different system profiles were created, each representing a different combination of these 3 traits. We then utilized a novel Wizard of Oz data collection tool and recruited participants who interacted with the

銼屑

Jinxiu Guoed agents is beneficial for a study of human behaviour and cognition due to the possibility to create and manage a wide range of specific social situations. Building plausible cognitive models underlying the agent’s intelligent behaviour from scratch is challenging and costly. Interaction designers