Publications by authors named "Zhixiao Zhao"
Purpose: The present study explores and investigates the efficiency of deep learning models in identifying discourse structure and functional features and explores the potential application of natural language processing (NLP) techniques in text mining, information measurement, and scientific communication.
Method: The PLOS literature series has been utilized to obtain full-text data, and four deep learning models, including BERT, RoBERTa, SciBERT, and SsciBERT, have been employed for structure-function recognition.
Result: The experimental findings reveal that the SciBERT model performs outstandingly, surpassing the other models, with an F1 score.