International Business Machines Corporation
Generating completed responses via primal networks trained with dual networks

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Abstract:

An example system includes a processor to receive a prefix of conversation and a text input. The processor is to also generate a completed response based on the prefix of conversation and the text input via a trained primal network. The primal network is trained to minimize a Lagrangian loss function representing a number of objectives and a dual network is trained to maximize the Lagrangian loss function.

Status:
Grant
Type:

Utility

Filling date:

3 Feb 2019

Issue date:

19 Oct 2021