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arXiv:1906.00080cs.CL

Gmail Smart Compose: Real-Time Assisted Writing

Mia Xu Chen, Benjamin N Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu

Abstract

In this paper, we present Smart Compose, a novel system for generating interactive, real-time suggestions in Gmail that assists users in writing mails by reducing repetitive typing. In the design and deployment of such a large-scale and complicated system, we faced several challenges including model selection, performance evaluation, serving and other practical issues. At the core of Smart Compose is a large-scale neural language model. We leveraged state-of-the-art machine learning techniques for language model training which enabled high-quality suggestion prediction, and constructed novel serving infrastructure for high-throughput and real-time inference. Experimental results show the effectiveness of our proposed system design and deployment approach. This system is currently being served in Gmail.

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DOI
Subjects
cs.CLComputation and Language cs.LGMachine Learning

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    • Email contents are used to generate a model for Smart Compose in Gmail [1]. I assume that Google docs works similarly. [1] https://arxiv.org/pdf/1906.00080.pdf

      mikekView on HNParent context

    • No it does not, it would be irresponsible to do that on private data. There's a very clear line between data posted publicly and data held privately, especially in terms of copyright. I doubt it will ever be default opt-in for something as sensitive e-mail and docs. One…

      knaik94View on HNParent context

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