Method and System for Intent Classification

A computer-implemented intent classification method and system are provided. The method comprises: providing a plurality of trained model sets, each based on a different model and comprising a plurality of trained models, with each trained model in each trained model set obtained by training a same model with a different initialization condition over a pre-determined dataset; feeding an input text into each trained model to obtain a plurality of prediction results for indicating a likely intent class of the input text; ensembling prediction results corresponding to a same trained model set for each trained model set to obtain a plurality of first-layer ensembles; ensembling the plurality of first-layer ensembles to obtain at least one second-layer ensemble, each obtained by ensembling two or more first-layer ensembles; and determining the intent class of the input text based on the at least one second-layer ensemble.