论文标题

Gunrock 2.0:用户自适应社交对话系统

Gunrock 2.0: A User Adaptive Social Conversational System

论文作者

Liang, Kaihui, Chau, Austin, Li, Yu, Lu, Xueyuan, Yu, Dian, Zhou, Mingyang, Jain, Ishan, Davidson, Sam, Arnold, Josh, Nguyen, Minh, Yu, Zhou

论文摘要

Gunrock 2.0建在Gunrock的顶部,重点是用户适应。 Gunrock 2.0结合了各种神经自然语言理解模块,包括命名实体检测,链接和对话框ACT预测,以提高用户的理解。它的对话管理是一个层次模型,可处理各种主题,例如电影,音乐和体育。系统级对话框管理器可以处理问题检测,确认,错误处理和其他功能,从而使下游模块更容易设计和实现。对话框经理还调整了其主题选择,以适应不同的用户个人资料信息,例如推断性别和个性。生成模型是模板和神经产生模型的混合。 Gunrock 2.0能够在5月29日至6月4日的最新版本中获得平均评级为3.73。

Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0 combines various neural natural language understanding modules, including named entity detection, linking, and dialog act prediction, to improve user understanding. Its dialog management is a hierarchical model that handles various topics, such as movies, music, and sports. The system-level dialog manager can handle question detection, acknowledgment, error handling, and additional functions, making downstream modules much easier to design and implement. The dialog manager also adapts its topic selection to accommodate different users' profile information, such as inferred gender and personality. The generation model is a mix of templates and neural generation models. Gunrock 2.0 is able to achieve an average rating of 3.73 at its latest build from May 29th to June 4th.

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