閱讀分享：Enriching BERT with Knowledge Graph Embeddings for Document Classification
Enriching BERT with Knowledge Graph Embeddings for Document Classification https://github.com/malteos/pytorch-bert-document-classification 子任務A：對一本書進行八分類； 子任務B：第二層93個和第三層242個標籤(總共343個標籤)進行分類。 Arthitec
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相關文章
- 1. Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 2. Enriching Pre-trained Language Model with Entity Information for Relation Classification論文閱讀
- 3. Convolutional 2D Knowledge Graph Embeddings 閱讀筆記
- 4. K-BERT: Enabling Language Representation with Knowledge Graph閱讀筆記
- 5. KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解
- 6. Hierarchical Attention Network for Document Classification閱讀筆記
- 7. Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs》閱讀筆記
- 8. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 9. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
- 10. 【論文閱讀筆記】Document Modeling with Gated Recurrent Neural Network for Sentiment Classification