Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference31 articles.
1. Multi-task learning for natural language processing in the 2020s: where are we going?;Worsham;Pattern Recognit. Lett.,2020
2. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin,2019
3. Roberta: a robustly optimized bert pretraining approach;Liu;arXiv preprint arXiv:1907.11692,2019
4. Transformer-based approach for joint handwriting and named entity recognition in historical document;Rouhou;Pattern Recognit. Lett.,2021
5. Document-level relation extraction via graph transformer networks and temporal convolutional networks;Shi;Pattern Recognit. Lett.,2021
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Capturing natural position relationships: A neural differential equation approach;Pattern Recognition Letters;2024-02
2. NanoBERT: An Extremely Compact Language Model;Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD);2024-01-04
3. Oil species identification based on fluorescence excitation-emission matrix and transformer-based deep learning;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-12
4. The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30
5. LCformer: Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting;Communications in Computer and Information Science;2023-11-26