International Business Machines Corporation
INTERPRETATION OF DEEP NEURAL MODEL BASED DIALOGUE AGENTS
Last updated:
Abstract:
Techniques facilitating interpretation of deep neural model based dialogue agents are provided. In one example, a computer-implemented method comprises extracting, by a device operatively coupled to a processor, features from a dialogue model independently from the dialogue model, the features comprising input features provided to the dialogue model and output features produced via the dialogue model in response to the input features, resulting in extracted features; and analyzing, by the device, a dialogue context associated with the extracted features by identifying pairwise interactions between respective ones of the extracted features.
Status:
Application
Type:
Utility
Filling date:
21 Jan 2021
Issue date:
21 Jul 2022