Smart Reply: Learning a Model of Conversation from Data
Smart Reply is a text assistance feature in Inbox by Gmail. Given an incoming email message, the Smart Reply system analyzes its contents and suggests responses that the recipient can select with just one tap. This talk will cover how we built Smart Reply using state-of-the-art deep learning, as well as what we learned along the way and why we think it shows promise for the future of virtual assistants.
Anjuli Kannan is a senior software engineer at Google. She is a member of the Brain Team, which works to advance the field of machine intelligence through a combination of basic research, software (TensorFlow), and applications that improve people's lives. Anjuli is especially interested applications of machine learning to problems in natural language understanding. Recently she was a core member of the team that brought the Smart Reply feature to Inbox by Gmail. Launched in 2015, Smart Reply was the first Google-scale application to effectively apply recurrent neural networks in language understanding, as well as the first to leverage Google's open-source TensorFlow.