Adobe Systems Inc.

Adobe, Inc.

Nuance Communications, Inc.

Eylon Stroh

Todd Rein

Roman Dolgov

Robert Shaver

Marco Qualizza

Shawn Alan Gaither

Randy L Swineford

Marissa Dulaney

Peter Baird

Shannon Hickey

Brian Havlin

Paul John Asente

James E White

Varun Parmar

Richard J Cohn

Julian Sinai

Priyank Mathur

Shashi K Rai

Verena Sabine Kaynig-Fittkau

Subhash Singh Daga

James M Riseman

Smitha Bangalore Naresh

Emily Seminerio

Chris Ethier

Richard B Unger

R Douglas Sharp

Randall Silvia

Techniques are provided for identifying structural elements of a document. One Methodology includes generating a first channel of rasterized content by rasterizing a full page of the document and generating one or more additional channels of rasterized content from the page of the document by rasterizing one or more corresponding content types from the page of the document. Each of the one or more additional channels includes a specific type of content that is different from each of the other one or more additional channels. The methodology further includes inputting the first channel of rasterized content and the one or more additional channels of rasterized content into a machine learning (ML) model. The methodology continues with determining location and classification for each of a plurality of structural elements on the page of the document using the ML model.

Multiple channels of rasterized content for page decomposition using machine learning

A method and system to track new submissions for an online forms service is provided. The system may include a request detector to detect a request to load a view (e.g., a web page) and a view provider to provide the view for display in response to the request. The view may comprise submission information for an electronic form and a value indicative of a number of new submissions.

Tracking new submissions for an online forms service

One exemplary embodiment involves a computer-implemented method comprising receiving, in a computing device, a first request to attach a file in a cell of a collaborative spreadsheet, wherein the first request comprises the file and a cell identifier, and wherein the collaborative spreadsheet comprises a spreadsheet configured to be accessed and modified simultaneously from a plurality of client devices. The method additionally comprises attaching, via a processor, the file to the collaborative spreadsheet at the cell corresponding to the cell identifier; and storing the file on a cloud storage device, wherein the file is stored to be accessible in conjunction with the collaborative spreadsheet.

Computer-implemented methods and systems for associating files with cells of a collaborative spreadsheet

Embodiments of the present invention provide systems, methods, and computer storage media directed at predicting values for an electronic form. In embodiments, the method can include forming synonym groupings of form field labels for a number of users. The synonym groupings can be based on an analysis of the similarity of form field values that are associated with form field labels. In embodiments a predictive model may be generated from these synonym groupings. The predictive model can correlate the synonym groupings of one user with synonym groupings of one or more additional users to enable a determination of one or more predicted form field values for the one user based on a queried form field label even though the one user may have never submitted an electronic form with the queried form field label. Other embodiments may be described and/or claimed.

Form value prediction utilizing synonymous field recognition

In one example embodiment, a system and method is illustrated that includes receiving input to execute a function associated with a display element of a Graphical User Interface (GUI), the display element to display edit history data relating to a displayed portion of structured data. The system and method also includes retrieving the edit history data for the displayed portion of the structured data based upon the function, the edit history data reflecting changes made to the displayed portion of the structured data. The system and method also includes displaying the edit history data in the GUI as part of the display element.

Tracking changes in a database tool

Method and system for conditionally transmitting changes to information in a collaborative environment are provided. A system comprises a display, a change tracking module, and a rendering module. The change tracking module is configured to detect changes by a modifying user to information as a propagating or a non-propagating change. The rendering module transmits first view data to enable altering a first view based on the modification as part of a graphical user interface on the display presented to the modifying user and transmits second view data to enable altering a second view presented to a group of users, not including the modifying user, based on the modification if the modification comprises the propagating change. The second view data is not transmitted if the modification comprises the non-propagating change.

Method and system for conditionally transmitting changes to information in a collaborative environment

Apparatus, systems, and methods may operate to detect modifications made to information, the modifications received from a modifying user included in a group of users sharing the information by separately viewing presentations of the information. The presentations may have any number of views, such as a first view and at least a second view. Further actions may include transmitting first view data to enable altering the first view for the modifying user based on the modification made, whether the modification comprises a propagating change or a non-propagating change, and if the modification comprises a propagating change, transmitting second view data to enable altering at least the second view for at least some of the group of users, not including the modifying user, based on the modification. If the change is a non-propagating one, then the activity may include refraining from transmitting the second view data. Additional apparatus, systems, and methods are disclosed.

Collaborative editing operations

A machine-implemented method of building a speech application includes generating a graphical user interface to enable a user to create and edit a speech application, and receiving user inputs directed to the graphical user interface, where the user inputs specify a set of dialog flows representing the speech application. The method further includes, based on the user inputs, automatically generating executable code representing the speech application and a functional specification document describing the speech application.

Computer-implemented tool for creation of speech application code and associated functional specification

Growing community of inventors

San Carlos, CA, United States of America

Eylon Stroh