论文标题
神经产生与真实的人相遇：致力于情感上的混合宣传对话
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
论文作者
论文摘要
我们提出了开放域对话代理Chirpy Cardinal，作为2019年Alexa奖竞赛的研究平台。建立与真实人交谈的开放域社交机器人很具有挑战性 - 这样的系统必须符合多个用户期望，例如广泛的世界知识，对话风格和情感联系。我们的Socialbot用户可以按照他们的条款进行互动 - 优先考虑他们的兴趣，感受和自主权。结果，我们的社交机器人提供了一种响应迅速的个性化用户体验，能够谈论各种各样的主题，并善解人意地聊天。神经产生在实现这些目标方面起着关键作用，为我们的对话和情感语调提供了骨干。在比赛结束时，Chirpy的红衣主教在平均评分为3.6/5.0，中位对话持续时间为2分16秒，而第90％以上的时间为12分钟。
We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the 2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people is challenging - such a system must meet multiple user expectations such as broad world knowledge, conversational style, and emotional connection. Our socialbot engages users on their terms - prioritizing their interests, feelings and autonomy. As a result, our socialbot provides a responsive, personalized user experience, capable of talking knowledgeably about a wide variety of topics, as well as chatting empathetically about ordinary life. Neural generation plays a key role in achieving these goals, providing the backbone for our conversational and emotional tone. At the end of the competition, Chirpy Cardinal progressed to the finals with an average rating of 3.6/5.0, a median conversation duration of 2 minutes 16 seconds, and a 90th percentile duration of over 12 minutes.
