Google Inc.

Bjarke Ebert

Brian Strope

Balint Miklos

Tobias Kaufmann

Yun-hsuan Sung

Neil Smith

Noah Constant

Victor Anchidin

Amr Abdelfattah

László Lukacs

Jan Van De Kerkhof

Heeyoung Lee

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

Growing community of inventors

Canton of Zug, Switzerland

Bjarke Ebert