Abstract: A method and system for providing tone detection for a content may include receiving a request to detect a tone for a content, retrieving user data and data about the content, detecting a content environment for the content based on at least one of the user data and the data about the content, detecting the tone for the content based on the content and the content environment, inputting the content and the detected tone into a machine-learning (ML) model for modifying the tone from the detected tone to a modified tone, obtaining at least one rephrased content segment as an output from the ML model, the rephrased content segment modifying the tone of the content from the detected tone to the modified tone, and providing at least one of the detected tone or the at least one rephrased content segment for display.

Abstract: A computer implemented method includes accessing instructional content that describes a task for completion by a user. Actions described in the instructional content are derived from the instructional content. Telemetry containing logged actions taken by users is accessed and used to identify actions taken that are associated with the task. A machine learning model is used to identify a task completion path endpoint for the instructional content based on the derived actions and actions taken associated with the task.

Abstract: A computing apparatus comprising one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and an application comprising program instructions stored on the one or more computer readable storage media that direct the computing apparatus to at least generate a transcript for a video and identify keyframes in the video based on the transcript. The keyframes are segmented into presentation frames and regular frames. For at least a presentation frame of the presentation frames, a topic represented in the presentation frame is identified, and for at least a regular frame of the regular frames, a topic represented in a portion of the transcript corresponding in time to the regular frame is identified. The keyframes are organized into topic groups based on the topic identified for each of the keyframes, and an electronic document is generated based on the topic groups.

Abstract: A system and method for converting a document is described. The system accesses a document comprising one or more section breaks. The system detects sections of the text document demarked by the one or more section breaks and generates a section title metadata and a section summary metadata for each section of the plurality of sections. The system inserts the section title metadata and the section summary metadata at the corresponding section breaks in the text document. The system modifies the text document into slides. Each slide being formed for each section based on the corresponding section title metadata and the section summary metadata. The system generates a presentation document based on the slides.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: A data processing system obtains source textual content associated with a first writing style and target textual content associated with a second writing style and provides the source textual content as an input to a first machine learning model which analyzes the source content to determine the first writing style of the first textual content. The system provides an indication of the first writing style and the target textual content as an input to a second machine learning model which analyzes the target textual content and rewrites the target textual content according to the first writing style to output updated target textual content rewritten according to the first writing style. Some implementations utilize a single model trained to receive the source textual content, the target textual content, to determine the writing style of the source textual content and rewrite the target textual content according to the first writing style.

Abstract: A system and method for generating a document control item is described. The system accesses a text document and extracts a portion of the text document. The portion comprises some but not all of the text document. The system sends the portion of the text document to a trained machine learning model and, in response, receives a classification of the portion as demarking a section break. The system modifies the text document by inserting a document control item into the text document at a location of each portion classified as demarking a section break. The system stores the modified document.

Abstract: A system and method for automatically generating help documentation for an application includes examining telemetry data associated with a plurality of users' use of the application and identifying from the telemetry data an intended action for which a help documentation should be generated. Upon identifying the intended action, an action path in the application for arriving at the intended action may be determined where the action path includes one or more actions taken before arriving at the intended action and an action label for each of the actions may be identified. The action path and the action label may be provided to a trained machine-learning (ML) model for automatically generating the help documentation and in response, an automatically generated help documentation may be received as an output.

Abstract: A system and method and for generating a template based on a page of a document includes receiving a request to create the template for the document, providing a page of the document as an input to a trained machine-learning (ML) model, where the trained machine-learning model is trained to automatically generate target pages for the document based on a received page and the page includes a background image and content, and receiving target pages for the document from the ML model. Each target page has a distinct layout and includes a modified background image and one or more placeholders for content and a template for the document is generated from the one or more target pages and provided for display on a user interface screen associated with the document.

Abstract: A method and system for providing tone detection for a content may include receiving a request to detect a tone for a content, retrieving user data and data about the content, detecting a content environment for the content based on at least one of the user data and the data about the content, detecting the tone for the content based on the content and the content environment, inputting the content and the detected tone into a machine-learning (ML) model for modifying the tone from the detected tone to a modified tone, obtaining at least one rephrased content segment as an output from the ML model, the rephrased content segment modifying the tone of the content from the detected tone to the modified tone, and providing at least one of the detected tone or the at least one rephrased content segment for display.

Abstract: A system and method and for monitoring an online meeting includes receiving an indication that the online meeting has been started, retrieving meeting metadata associated with the online meeting, meeting content data from the online meeting, and user data associated with one or more meeting invitees; providing at least one of the meeting metadata, meeting content data and the user data to a machine-learning model for detecting a meeting stage for the online meeting in real-time, determining and based on at least one of the detected meeting stage, meeting content data or the user data that a notification about the online meeting should be provided to one of the meeting invitees, generating data for the notification, and providing the data for the notification for display to the meeting invitee.

Abstract: A system and method and for monitoring an online meeting includes receiving an indication that the online meeting has been started, retrieving meeting metadata associated with the online meeting, meeting content data from the online meeting, and user data associated with one or more meeting invitees; providing at least one of the meeting metadata, meeting content data and the user data to a machine-learning model for detecting a meeting stage for the online meeting in real-time, determining and based on at least one of the detected meeting stage, meeting content data or the user data that a notification about the online meeting should be provided to one of the meeting invitees, generating data for the notification, and providing the data for the notification for display to the meeting invitee.

Abstract: Generally discussed herein are devices, systems, and methods for improving architecture search and identification with constraints. A method can include receiving, at a compute device, a request for a transformer-based autoregressive language model (TBALM), the request specifying a maximum latency, identifying TBALM architectures that satisfies the maximum latency, identifying a TBALM architecture of the identified TBALM architectures that has a greatest number of decoder parameters resulting in an identified TBALM architecture, and providing the identified TBALM architecture.

Abstract: A system and method for generating a document control item is described. The system accesses a text document and extracts a portion of the text document. The portion comprises some but not all of the text document. The system sends the portion of the text document to a trained machine learning model and, in response, receives a classification of the portion as demarking a section break. The system modifies the text document by inserting a document control item into the text document at a location of each portion classified as demarking a section break. The system stores the modified document.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: A method and system for providing tone detection and modification for a content segment may include receiving a request to detect a tone for the content segment, inputting the content segment into a first machine-learning (ML) model to detect the tone for the content segment, obtaining the detected tone as a first output from the first ML model, inputting the content segment into a second ML model for modifying the tone from the detected tone to a modified tone, obtaining at least one rephrased content segment as a second output from the second ML model, the rephrased content segment modifying the tone of the content segment from the detected tone to the modified tone, and providing at least one of the detected tone or the at least one rephrased content segment for display to a user.

Abstract: A method and system for providing a personalized user interface and personalized search suggestions when using an application is disclosed. The method includes receiving a request for providing a personalized user interface such as a personalized menu for an application and examining a history of the user's usage of the application, a history of other user's usage of the application, and/or the content of the current document in the application, before identifying one or more suggested options offered by the application based on one or more of these factors. A list may then be generated and provided for being displayed as part of the personalized user interface. Upon receiving an indication of a user's intent to perform a search within the application, the user's usage history, usage history of users with similar activities, and/or content of the current document may be examined to provide the user with a list of search suggestions.

Abstract: Described herein are mechanisms to allow users to access functionality of applications in a suite of applications. In a first aspect, when a query relating to functionality of an application is received from a user, an index containing both top-level and sub-level functionality is searched. Results are ranked using a trained machine learning model using both context describing user interactions and the search results. A subset of the ranked results are presented to the user as options. In a second aspect the index can comprise entries describing functionality from other applications so that results presented to the user can include cross-application functionality. In a third aspect, the index can be searched using the context prior to receiving a query and adjusting the user interface based on the results. In a fourth aspect, the system can recommend other applications and/or devices that are better suited to a user's intent.

Abstract: Systems and methods for classifying content of an electronic file. One system includes an electronic processor configured to determine a content type associated with a portion of content included in the electronic file using a classification model developed using machine learning. The electronic processor is also configured to determine a suggested modification for the portion of content based on the determined content type. The suggested modification is a modification to a format property of the portion of content. The electronic processor is also configured to provide a notification of the suggested modification to a user for acceptance of the suggested modification. In response to the user accepting the suggested modification, the electronic processor is configured to modify the format property of the portion of content in accordance with the suggested modification.