Publication | Open Access
Smart Reply
175
Citations
28
References
2016
Year
Unknown Venue
Artificial IntelligenceNatural Language ProcessingRetrieval Augmented GenerationEngineeringMachine LearningQuestion AnsweringData ScienceSmart ReplyConversational Recommender SystemComputer ScienceComplete Email ResponsesDeep LearningShort Email ResponsesLanguage Generation
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.
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