the features of the question, pretrained model BERT is used to model sentences. Findings The experimental results show …-graph that is used to model the problem and choose the optimal path is conducive to finding the best question. (3) Finally, BERT …

-SF-Fusion. Design/methodology/approach ID-SF-Fusion uses Bidirectional Encoder Representation from Transformers (BERT) and Bidirectional …

Representations from Transformers (BERT) model as input to augment the contextual feature representation. Subsequently, with the … the manuscript. By employing and fine-tuning BERT into the downstream task with a small amount of data, the experiment …

Representations Transformers (BERT) pre-trained word embedding are used to identify relationships between words, which helps to … experiments compares the deep learning model performance without embedding, GloVe and BERT embedding. The experiments show that … experiment reveals that the CNN model with GloVe embedding gives slightly better accuracy than the model with BERT embedding and …

techniques including BERT and machine learning models that can classify OCRs according to their potential helpfulness. Moreover …