论文标题
Alquist 2.0：基于子女度模型的Alexa奖Socialbot
Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
论文作者
论文摘要
本文介绍了第二版的对话系统，名为Alquist参加了2018年Amazon Alexa奖。我们介绍了一个基于本体的主题结构的系统，称为主题节点。每个节点都由几个子条件组成，并且每个子女图都有自己的基于LSTM的对话管理模型。可以根据主题层次结构或用户意图触发子细节，以允许机器人在每个会话中创建独特的体验。
This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018. We introduce a system leveraging ontology-based topic structure called topic nodes. Each of the nodes consists of several sub-dialogues, and each sub-dialogue has its own LSTM-based model for dialogue management. The sub-dialogues can be triggered according to the topic hierarchy or a user intent which allows the bot to create a unique experience during each session.
