Enriching BERT with Knowledge Graph Embeddings for Document Classification
arXiv github 這是GermEval 2019 Task 1 – Shared task on hierarchical classification of blurbs的一個實驗性文章，文中所關注的問題總體上來說屬於文本分類，但根據所使用的數據集具體來說是一個關於層次化標籤的文本多分類任務。相對於基本的文本分類所使用的數據集，本文中所使用的的GermEval2019中樣本的內容包含：
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相關文章
- 1. 閱讀分享：Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 2. KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解
- 3. Enriching Pre-trained Language Model with Entity Information for Relation Classification論文閱讀
- 4. 論文淺嘗 | Enriching Pre-trained Language Model with Entity Information for Relation Classification
- 5. Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph
- 6. Enriching Knowledge Bases with Counting Quantifiers理解
- 7. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
- 8. Spatio-Temporal graph for video captioning with knowledge distillation
- 9. Learning over Knowledge-Base Embeddings for Recommendation 論文
- 10. 論文筆記（NLP）——Sentiment Classification using Document Embeddings trained with Cosine Similarity