Adobe, Inc.

Mayank Gupta

Mandeep Gandhi

Nitin Nizhawan

In some embodiments, a computing system computes a hierarchical entity data model to facilitate autocompleting forms by generating an electronic schema extraction from an electronic form lacking data for one or more fields. The computing system generates an electronic schema including an input category and input field elements. The computing system accesses a hierarchical entity-data model including and entity category and entity-data elements. The computing system identifies associations between the entity category and input category based on semantic matching including text of an entity category label and an input field category label or matching a number of fields within an entity category to an input category. The computing system verifies the association by applying a natural language processing engine to the input field elements and the entity-data elements. The computing system autocompletes one or more input field elements with entity data from one or more of the entity-data elements.

Facilitating auto-completion of electronic forms with hierarchical entity data models

Enhanced permission techniques are disclosed that ensures integrity of resources while the resources are provided for re-purposing by users that do not have conventional permissions, such as read or write permissions, to the resources. In some examples, a method to evaluate enhanced permissions for re-purposing a resource from a source path to a target path by a user may include evaluating source permissions and target permissions, and determining whether to allow the re-purposing the resource based on the evaluating. The source permissions are copy permissions or cut permissions specified for the source path and that apply to the user. The target permissions are paste permissions specified for the target path and that apply to the user.

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Noida, India

Mayank Gupta