Abstract: A method for training a machine learning model included generating training data for the machine learning model. Generating the training data includes generating first training input that includes candidate text portions of one or more electronic documents and generating a first target output for the first training input. The first target output identifies a formatting type for each of the candidate text portions. The training data is provided to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

Abstract: A presentation document is provided for display at a user device. An addition of a content object into the presentation document is identified. A theme of the presentation document is identified based on the content object. A subset of the presentation document templates is provided for selection based on the identified theme. A user interaction associated with the presentation document is identified. Responsive to identifying the user interaction associated with the presentation document, suggested content for insertion into the presentation document are provided for presentation at the user device. A selection of a suggested content object from the suggested content is received. The selected suggested content object is applied to the presentation document.

Abstract: A method identifies a text region in an electronic document. The method determines that the text region includes a candidate text portion that is a candidate for applying a formatting suggestion based on a comparison of the text region with predetermined patterns. The method identifies a stored text record that corresponds to the candidate text portion. The method confirms whether the formatting type is appropriate for the candidate text portion based on individual word matches between the candidate text portion and the stored text record. The method notifies a user of the electronic document of the formatting suggestion according to the formatting type.

Abstract: A presentation document is provided for display at a user device. An addition of a content object into the presentation document is identified. A theme of the presentation document is identified based on the content object. A subset of the presentation document templates is provided for selection based on the identified theme. A user interaction associated with the presentation document is identified. Responsive to identifying the user interaction associated with the presentation document, suggested content for insertion into the presentation document are provided for presentation at the user device. A selection of a suggested content object from the suggested content is received. The selected suggested content object is applied to the presentation document.

Abstract: A presentation document is provided for display at a user device. An addition of a content object into the presentation document is identified. A theme of the presentation document is identified based on the content object. A subset of the presentation document templates is provided for selection based on the identified theme. A user interaction associated with the presentation document is identified. Responsive to identifying the user interaction associated with the presentation document, suggested content for insertion into the presentation document are provided for presentation at the user device. A selection of a suggested content object from the suggested content is received. The selected suggested content object is applied to the presentation document.

Abstract: A method identifies a text region in an electronic document. The method determines that the text region includes a candidate text portion that is a candidate for applying a formatting suggestion based on a comparison of the text region with predetermined patterns. The method identifies a stored text record that corresponds to the candidate text portion. The method confirms whether the formatting type is appropriate for the candidate text portion based on individual word matches between the candidate text portion and the stored text record. The method notifies a user of the electronic document of the formatting suggestion according to the formatting type.

Abstract: A presentation document is provided for display at a user device. An addition of a content object into the presentation document is identified. A theme of the presentation document is identified based on the content object. A subset of the presentation document templates is provided for selection based on the identified theme. A user interaction associated with the presentation document is identified. Responsive to identifying the user interaction associated with the presentation document, suggested content for insertion into the presentation document are provided for presentation at the user device. A selection of a suggested content object from the suggested content is received. The selected suggested content object is applied to the presentation document.

Abstract: A computer-implemented method for providing templates for a document to a user, the method comprising detecting a first object in the document, generating a score for each document template in a plurality of document templates, by applying a ranking scheme to the document templates, wherein the ranking scheme is based on the first object placed in the document, providing to the user, a first subset of the plurality of document templates based on each document template's respective score, receiving a selection of a document template from the first subset of the plurality of document templates from the user, and applying the selected document template to the first object in the document.

Abstract: A computer-implemented method for providing templates for a document to a user, the method comprising detecting a first object in the document, generating a score for each document template in a plurality of document templates, by applying a ranking scheme to the document templates, wherein the ranking scheme is based on the first object placed in the document, providing to the user, a first subset of the plurality of document templates based on each document template's respective score, receiving a selection of a document template from the first subset of the plurality of document templates from the user, and applying the selected document template to the first object in the document.

Abstract: One embodiment of the present invention provides a system for tracing information leaks. The system introduces linguistic and syntactic changes to a document, and associates these changes with a user identifier, which facilitates identification of a user that may have leaked the document. During operation, the system receives a document. The system then determines a most similar original document based on the received document. The system determines difference between the most similar original document and the received document, and determines a user identifier based on the determined difference.

Abstract: One embodiment of the present invention provides a system for tracing information leaks. The system introduces linguistic and syntactic changes to a document, and associates these changes with a user identifier, which facilitates identification of a user that may have leaked the document. During operation, the system receives a document. The system then determines a most similar original document based on the received document. The system determines difference between the most similar original document and the received document, and determines a user identifier based on the determined difference.