Abstract: Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.

Abstract: Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.

Abstract: Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.

Abstract: Systems, methods, and computer-readable storage media for responding to a query using a neural network and natural language processing. If necessary, the system can request disambiguation, then parse the query using a trained machine-learning classifier, resulting in at least one of an identified subject or an identified domain of the text query. The system can determine if the user is authorized to retrieve answers to the query and, if so, retrieve factual data associated with the query. The system can then retrieve a response template, and fill in the template with the retrieved facts. The system can then determine, by executing a machine comprehension model on the filled response template, a probable readability token, portion of text, of at least a portion of the filled response template and, upon identifying that the probable readability is above a threshold, reply to the text query with the at least a portion of the filled response template.

Abstract: Intelligent management of employee sabbaticals is provided. An analysis of a profile of an employee requesting a sabbatical along with historical data and profiles corresponding to other employees of an employer is performed using an artificial intelligence component. Proposed sabbatical plan options for the employee are generated using the artificial intelligence component based on the analysis of the profile of the employee and the historical data and profiles corresponding to the other employees of the employer. Selections from the proposed sabbatical plan options by the employee are received via a sabbatical planner graphical user interface displayed on a client device of the employee. A sabbatical plan for the employee is generated using the artificial intelligence component based on the selections from the proposed sabbatical plan options by the employee. A set of action steps corresponding to the sabbatical for the employee is performed.

Abstract: Systems and methods use a mobile device to position an annotation of displayed content on a shared display coupled with a host device. Sensor data, such as gyroscope and accelerometer data, from the mobile device may be transmitted to the host device and used to generate the annotation. The sensor data may be preprocessed to smooth and fit the data to a parametric curve or shape prior to or after display on the shared display. The user of the mobile device may interact with the mobile device to further start and stop the annotation, as well as denote to animate the annotation.

Abstract: Systems and methods use a mobile device to position an annotation of displayed content on a shared display coupled with a host device. Sensor data, such as gyroscope and accelerometer data, from the mobile device may be transmitted to the host device and used to generate the annotation. The sensor data may be preprocessed to smooth and fit the data to a parametric curve or shape prior to or after display on the shared display. The user of the mobile device may interact with the mobile device to further start and stop the annotation, as well as denote to animate the annotation.

Abstract: Systems and methods use a mobile device to position an annotation of displayed content on a shared display coupled with a host device. Sensor data, such as gyroscope and accelerometer data, from the mobile device may be transmitted to the host device and used to generate the annotation. The sensor data may be preprocessed to smooth and fit the data to a parametric curve or shape prior to or after display on the shared display. The user of the mobile device may interact with the mobile device to further start and stop the annotation, as well as denote to animate the annotation.

Abstract: Systems and methods use a mobile device to position an annotation of displayed content on a shared display coupled with a host device. Sensor data, such as gyroscope and accelerometer data, from the mobile device may be transmitted to the host device and used to generate the annotation. The sensor data may be preprocessed to smooth and fit the data to a parametric curve or shape prior to or after display on the shared display. The user of the mobile device may interact with the mobile device to further start and stop the annotation, as well as denote to animate the annotation.