BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks

13 Sep 2020 Tongwen Huang Qingyun She Junlin Zhang

As a pre-trained Transformer model, BERT (Bidirectional Encoder Representations from Transformers) has achieved ground-breaking performance on multiple NLP tasks. On the other hand, Boosting is a popular ensemble learning technique which combines many base classifiers and has been demonstrated to yield better generalization performance in many machine learning tasks... (read more)

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