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Issues in Corpus Development for Multi-Party Multi-Modal Task-Oriented Dialogue

机译:多党多模式任务型对话语料库开发中的问题

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This paper describes the development of a multi-modal corpus based on multi-party multi-task driven common goal oriented spoken language interaction. The data consists of approximately 10 hours of audio human simulation radio data and nearly 5 hours of video and audio face-to-face sessions between human trainees and virtual agents.

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