METHOD AND APPARATUS FOR QUESTION-AND-ANSWER DATA ENHANCEMENT, COMPUTER DEVICE, AND STORAGE MEDIUM

摘要

A method and an apparatus for question-and-answer data enhancement, a computer device, and a storage medium, relating to artificial intelligence technology, and specifically for use in deep learning. The method comprises acquiring a question and answer dataset, the question and answer dataset comprising a plurality of data points and real tags corresponding thereto (S1); on the basis of a pre-trained prediction model and the real tags, performing first soft tag prediction on each data point to obtain first soft tags corresponding to each data point (S2); constructing a soft tag dataset from each data point and the first soft tags corresponding thereto, and use knowledge distillation to generate a labeling model from the soft tag dataset and the prediction model (S3) acquiring a dataset to be tagged, inputting the dataset to be tagged into the labeling model for pre-labeling, and on the basis of labeling results, screening the dataset to be tagged to obtain a labeled sample set (S4). The described method further relates to blockchain technology, and the data in the labeled sample set and the dataset to be tagged are stored in a blockchain. The described method is able to improve efficiency and quality in labeling and tagging.