Implementing dynamic confidence rescaling with modularity in automatic user intent detection systems
AssigneeInternational Business Machines Corporation
InventorsYang Yu, Ladislav Kunc, Saloni Potdar
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AssigneeInternational Business Machines Corporation
InventorsYang Yu, Ladislav Kunc, Saloni Potdar
Estimating the term…
A method, system and computer program product are provided for implementing dynamic confidence rescaling for modularity in automatic user intent detection systems. User intents are identified using separately trained models with corresponding training data. Natural language processing (NLP) and statistical analysis are applied on the training data to classify the training data into groups and modules. A confidence rescaling algorithm is used for combining the modules. The dynamic confidence rescaling uses statistical information computed about each module being combined to identify user intents with enhanced accuracies in comparison to baseline models without confidence rescaling.
A system for implementing dynamic confidence rescaling for modularity in automatic user intent detection systems comprising:
A method for implementing dynamic confidence rescaling for modularity in automatic user intent detection systems comprising:
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