论文标题
雅典娜：通过话语约束动态构建对话
Athena: Constructing Dialogues Dynamically with Discourse Constraints
论文作者
论文摘要
该报告描述了雅典娜（Athena），这是一种关于流行主题和时事对话的对话系统。我们为对话管理开发了灵活的主题 - 反应方法，该方法基于实体和主题连贯性的一般原则，动态配置对话。雅典娜的对话经理使用基于合同的方法，其中将话语限制派遣到响应发生器的簇。这使雅典娜可以从动态来源（例如知识图遍历和基于特征的自然响应检索方法）采购响应。在描述了对话系统体系结构之后，我们对雅典娜在2019年Alexa奖竞赛中参加的对话进行了分析。最后，我们对我们进行的几项用户研究的报告结束，以更好地了解单个用户特征如何影响系统评分。
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management that dynamically configures dialogue based on general principles of entity and topic coherence. Athena's dialogue manager uses a contract-based method where discourse constraints are dispatched to clusters of response generators. This allows Athena to procure responses from dynamic sources, such as knowledge graph traversals and feature-based on-the-fly response retrieval methods. After describing the dialogue system architecture, we perform an analysis of conversations that Athena participated in during the 2019 Alexa Prize Competition. We conclude with a report on several user studies we carried out to better understand how individual user characteristics affect system ratings.
