Google Inc.

Victor Anchidin

Balint Miklos

Brian Strope

Timothy Youngjin Sohn

Tobias Kaufmann

Bogdan Prisacari

Yun-hsuan Sung

Julia Proskurnia

Paul Roland Lambert

Matthew Vincent Dierker

Jacqueline Amy Tsay

Thijs Van As

Neil Smith

Noah Constant

Bjarke Ebert

Heeyoung Lee

Bryan Kenneth Rea

Jan Van De Kerkhof

Amr Abdelfattah

László Lukacs

An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

Recipient based text prediction for electronic messaging

A system may use a machine-learned model to determine whether to classify a sequence of one or more words within a first document that is being edited as a candidate hyperlink based at least in part on context associated with the first document. In response to classifying the sequence of one or more words as the candidate hyperlink, the system may use the machine-learned model and based at least in part on the sequence of one or more words and the context to determine one or more candidate document to be hyperlinked from the sequence of one or more words. In response to receiving an indication of a second document being selected out of the one or more candidate documents, the system may modify the first document to associate the sequence of one or more words with a hyperlink to the second document.

Automatic hyperlinking of documents

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Zurich, Switzerland

Victor Anchidin