Adversarial learning and generation of dialogue responses
AssigneeCapital One Services, LLC
InventorsOluwatobi OLABIYI, Erik T. Mueller
Life of this patent
Estimating the term…
Abstract
Systems and methods for generating responses to user input such as dialogues, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.
Claims20
An improved method for generating responses to user communications comprising:
- receiving, by at least one server communicatively coupled to a user device, a user communication;
- applying, by a response generation module of the at least one server, a generative adversarial network to the user communication to generate an optimal generated response to the user communication, the generative adversarial network comprising a generator component and a discriminator component, the discriminator component comprising a convolutional neural network and a recurrent neural network, wherein applying the generative adversarial network comprises:
- generating, via the generator component, a plurality of computer generated responses responsive to the user communication based on the received user communication, noise input, and historical data, and
- selecting, via the discriminator component, an optimal computer generated response from among the generated plurality of computer generated responses;
- and
- transmitting, by the at least one server, the optimal generated response to the user communication to a user of the user device.
(canceled)
An improved method for providing computer generated responses to user communications comprising:
- receiving, by a user interface of a user device, a user communication;
- transmitting, by the user device, the user communication to at least one server communicatively coupled to the user device;
- receiving, by the user device, a computer generated response to the user communication, wherein the computer generated response is generated by applying an generative adversarial network to the user communication, the generative adversarial network comprising a generator component and a discriminator component, the discriminator component comprising a convolutional neural network and a recurrent neural network, wherein applying the generative adversarial network comprises:
- generating, via the generator component, a plurality of computer generated responses responsive to the user communication, and
- selecting, via the discriminator component, an optimal computer generated response from among the plurality of computer generated responses;
- and
- providing, by the user interface, the computer generated response to a user of the user device.
(canceled)
An improved system for generating responses to user communications comprising:
- at least one server communicatively coupled to a user device by a network, wherein the at least one server further comprises a non-transitory memory storing computer-readable instructions and at least one processor;
- the execution of the computer-readable instructions causing the at least one server to:
- receive, from the user device, a user communication;
- apply, by a response generation module of the at least one server, an generative adversarial network to the user communication to generate an optimal generated response to the user communication, the generative adversarial network comprising a generator component and a discriminator component, the discriminator component comprising a convolutional neural network and a recurrent neural network, and wherein application of the generative adversarial network further comprises:
- generation, via the generator component, of a plurality of computer generated responses responsive to the user communication, and
- selection, via the discriminator component, of an optimal computer generated response form among the plurality of computer generated responses;
- and
- transmit the optimal generated response to the user communication to a user of the user device.
(canceled)
Dependencies are inferred from the claim text.