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BERT 기반 전이 학습

BERT 기반 전이 학습은 대규모 텍스트 코퍼스에서 사전 훈련된 대형 트랜스포머 언어 모델을 레이블이 지정된 예제로 가중치를 미세 조정하여 대상 분류 작업에 적용합니다. 사전 훈련된 표현은 풍부한 구문 및 의미론적 지식을 인코딩하여 레이블이 지정된 데이터셋이 작더라도 높은 정확도를 가능하게 합니다.

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BERT 기반 전이 학습
[需翻译标题：BERT-based Classi…微调 BERT 分类基于RoBERTa的分类句子嵌入基于领域自适应BERT的分类领域自适应命名实体识别领域自适应问答领域自适应情感分析基于图神经网络的迁移学习命名实体识别的迁移学习

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来源

  1. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT 2019, 4171–4186. Association for Computational Linguistics. DOI: 10.18653/v1/N19-1423 ↗
  2. Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359. DOI: 10.1109/TKDE.2009.191 ↗

如何引用本页

ScholarGate. (2026, June 3). Transfer Learning with BERT-based Text Classification. ScholarGate. https://scholargate.app/zh/deep-learning/transfer-learning-with-bert-based-classification

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被引用于

基于领域自适应BERT的分类领域自适应命名实体识别领域自适应问答领域自适应情感分析基于图神经网络的迁移学习命名实体识别的迁移学习基于句子嵌入的迁移学习基于Word2Vec的迁移学习

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ScholarGate — Transfer Learning with BERT-based Classification (Transfer Learning with BERT-based Text Classification). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/transfer-learning-with-bert-based-classification · 数据集： https://doi.org/10.5281/zenodo.20539026