Maluuba Inc.

Siwei Yang

Wilson Hsu

Andrew James McNamara

Zhiyuan Wu

Adrian Petrescu

Provided is a system, method and computer-readable medium for generating data that may be used to train models for a natural language processing application. A system architect creates a plurality of sentence patterns that include entity variables and initiates sentence generation. Each entity is associated with one or more entity data sources. A language generator accepts the sentence patterns as inputs, and references the various entity sources to create a plurality of generated sentences. The generated sentences may be associated with a particular class and therefore used to train one or more statistical classification models and entity extraction models for associated models. The sentence generated process may be initiated and controlled using a user interface displayable on a computing device, the user interface in communication with the language generator module.

Method and system for generating natural language training data

A system, method, and computer-readable medium are provided for managing a route topography in a software environment. The system includes a dashboard user interface for allowing a user to manage the services that are part of a software application. The dashboard allows the user to add and delete services for a software application, to establish a communication identifier of each service, and to clone a first route topography to create a second route topography. A routing service manages the route topography by storing a route identifier and the associated services for the route. When a user modifies an existing route topography or creates a new route topography, the information is managed by the routing service which provides the route information to requesting services upon demand. In one embodiment, each service of the software application includes a route cache with routing information that may be updated periodically by the routing service.

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Waterloo, Canada

Siwei Yang