Smart Reply：电子邮件自动回复建议
Smart Reply: Automated Response Suggestion for Email
摘要：
在本文中，我们提出并研究了一种新的端到端的方法，自动生成简短的电子邮件响应，称为智能回复。它生成语义多样的建议，可以用作完整的电子邮件响应，只需在移动设备上点击一下。该系统目前用于Gmail的电子邮件，负责协助所有移动响应的10%。它被设计为以非常高的吞吐量工作，每天处理数亿条消息。该系统利用了最先进的大规模深度学习。我们描述了系统的架构以及我们在构建它时所面临的挑战，如响应多样性和可扩展性。我们还介绍了一种新的方法，用户生成的内容，只需要少量的显式标记的数据进行语义聚类。
英文摘要：
In this paper we propose and investigate a novel end-to-end method for automatically generating short email responses, called Smart Reply. It generates semantically diverse suggestions that can be used as complete email responses with just one tap on mobile. The system is currently used in Inbox by Gmail and is responsible for assisting with 10% of all mobile responses. It is designed to work at very high throughput and process hundreds of millions of messages daily. The system exploits state-of-the-art, large-scale deep learning. We describe the architecture of the system as well as the challenges that we faced while building it, like response diversity and scalability. We also introduce a new method for semantic clustering of user-generated content that requires only a modest amount of explicitly labeled data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
