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AssigneeAdobe Inc.
InventorsQuan Tran, Trung Bui, Hung Bui
Estimating the term…
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating dialogue responses based on received utterances utilizing an independent gate context-dependent additive recurrent neural network. For example, the disclosed systems can utilize a neural network model to generate a dialogue history vector based on received utterances and can use the dialogue history vector to generate a dialogue response. The independent gate context-dependent additive recurrent neural network can remove local context to reduce computation complexity and allow for gates at all time steps to be computed in parallel. The independent gate context-dependent additive recurrent neural network maintains the sequential nature of a recurrent neural network using the hidden vector output.
In a digital medium environment for providing end-to-end dialogue via a digital agent, a non-transitory computer readable medium for generating dialogue responsive to verbal prompts utilizing a neural network framework, the non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computer device to:
A system comprising:
In a digital medium environment for providing end-to-end dialogue via a digital agent, a computer-implemented method for generating dialogue responsive to verbal prompts utilizing a neural network framework, the computer-implemented method comprising:
Dependencies are inferred from the claim text.