Titlebook: 9th International Workshop on Spoken Dialogue System Technology; Luis Fernando D‘Haro,Rafael E. Banchs,Haizhou Li Conference proceedings 2

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书目名称9th International Workshop on Spoken Dialogue System Technology影响因子(影响力)




书目名称9th International Workshop on Spoken Dialogue System Technology影响因子(影响力)学科排名




书目名称9th International Workshop on Spoken Dialogue System Technology网络公开度




书目名称9th International Workshop on Spoken Dialogue System Technology网络公开度学科排名




书目名称9th International Workshop on Spoken Dialogue System Technology被引频次




书目名称9th International Workshop on Spoken Dialogue System Technology被引频次学科排名




书目名称9th International Workshop on Spoken Dialogue System Technology年度引用




书目名称9th International Workshop on Spoken Dialogue System Technology年度引用学科排名




书目名称9th International Workshop on Spoken Dialogue System Technology读者反馈




书目名称9th International Workshop on Spoken Dialogue System Technology读者反馈学科排名

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Advances in Computational Intelligence action.In this paper, we focus on the dialogue act classification in reference interviews to model the behaviors of librarians in the information seeking dialogues.Reference interviews sometimes include rare words and phrases. Therefore, the existing approaches that use words as units of input ofte

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https://doi.org/10.1007/978-3-662-05609-7ke a human.  A conversational android ERICA is designed to conduct several social roles focused on spoken dialogue, such as attentive listening (similar to counseling) and job interview. Design principles in developing these spoken dialogue systems are described, in particular focused on the attenti

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Fuzzy Modeling to Cope with Ambiguitiess have difficulty in handling new dialog states unseen in model training. This paper proposes a fully data-driven approach to DST that can deal with unseen dialog states. The approach is based on an RNN with an attention mechanism. The model integrates two variants of RNNs: a decoder that detects an

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https://doi.org/10.1007/978-3-319-97982-3rs.  Speech collisions often occur when a user and the dialog system speak simultaneously.  This study presents a method to generate fillers at the beginning of the system utterances to indicate an intention of turn-taking or turn-holding just like human conversations.  To this end, we analyzed the

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