K-BERT: Enabling Language Representation with Knowledge Graph阅读笔记
最近实验室要做预训练语言模型和知识图谱结合的交互式智能的研究，于是读了这篇北大与腾讯联合发表的K-BERT: Enabling Language Representation with Knowledge Graph。文章把知识图谱（KG）应用在BERT中创建了K-BERT模型，用以解决BERT模型在专业领域表现不佳的问题，一举解决了HES和KN两大问题。 K-BERT模型主要包括四部分：Know
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相关文章
- 1. 论文浅尝 | K-BERT: Enabling Language Representation with Knowledge Graph
- 2. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 论文阅读笔记
- 3. 阅读笔记Graph Representation Learning--Chapter5
- 4. Convolutional 2D Knowledge Graph Embeddings 阅读笔记
- 5. ERNIE-Enhanced Language Representation with Informative Entities 阅读笔记
- 6. 图分类《Hierarchical Graph Representation Learning with Differentiable Pooling》阅读笔记
- 7. 阅读论文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets
- 8. 论文阅读---ERNIE: Enhanced Language Representation with Informative Entities
- 9. ERNIE: Enhanced Language Representation with Informative Entities
- 10. Side Information-Knowledge Graph Convolutional Networks for Recommender Systems阅读笔记