ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative Entities 当前的预训练语言模型中没有融入KGs信息。而KGs能够为语言理解提供丰富的结构化信息。因此本文提出一种基于大规模语料和KGs训练的增强语言模型ERNIE。实验证明在knowledge-driven任务上，相比于bert取得显著提升。 bert融合上下文，ernie融合
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- 1. ERNIE: Enhanced Language Representation with Informative Entities
- 2. 论文阅读---ERNIE: Enhanced Language Representation with Informative Entities
- 3. ERNIE-Enhanced Language Representation with Informative Entities 阅读笔记
- 4. ERNIE: Enhanced Language Representation with Informative Entities 论文研读
- 5. (2019ACL)ERNIE：Enhanced Language Representation with Informative Entities
- 6. ELMO/GPT/BERT/ERNIE
- 7. 【EMNLP2019】Event Representation Learning Enhanced with External Commonsense Knowledge
- 8. ERNIE: Enhanced Representation through Knowledge Integration（百度）论文翻译
- 9. [ACL2017]Enhanced LSTM for Natural Language Inference
- 10. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记
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相关文章
- 1. ERNIE: Enhanced Language Representation with Informative Entities
- 2. 论文阅读---ERNIE: Enhanced Language Representation with Informative Entities
- 3. ERNIE-Enhanced Language Representation with Informative Entities 阅读笔记
- 4. ERNIE: Enhanced Language Representation with Informative Entities 论文研读
- 5. (2019ACL)ERNIE：Enhanced Language Representation with Informative Entities
- 6. ELMO/GPT/BERT/ERNIE
- 7. 【EMNLP2019】Event Representation Learning Enhanced with External Commonsense Knowledge
- 8. ERNIE: Enhanced Representation through Knowledge Integration（百度）论文翻译
- 9. [ACL2017]Enhanced LSTM for Natural Language Inference
- 10. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记