MacBERT
Related Papers
Revisiting Pre-Trained Models for Chinese Natural Language Processing
AbstractBidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and consecutive variants have been proposed to further improve the performance of the pre-trained language models. …...
CYUT at ROCLING-2021 Shared Task: Based on BERT and MacBERT
AbstractThis paper present a description for the ROCLING 2021 shared task in dimensional sentiment analysis for educational texts. We submitted two runs in the final test. Both runs use the …...
NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis
AbstractWe use the MacBERT transformers and fine-tune them to ROCLING-2021 shared tasks using the CVAT and CVAS data. We compare the performance of MacBERT with the other two transformers BERT …...
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training
AbstractThis study uses training and validation data from the “ROCLING 2022 Chinese Health Care Named Entity Recognition Task” for modeling. The modeling process adopts technologies such as data augmentation and …...