Open Relation Extraction: Relational Knowledge Transfer论文解析
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data Abstract 多数的OpenRE问题都限定在了unsupervised的模式中，没有利用Knowledge Base中的知识和标注数据。 所以提出RSN，学习预定义relation中的相似metric
相关文章
- 1. 【论文读后感】Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised
- 2. Open Relation Extraction- Relational Knowledge Transfer from Supervised Data to Unsupervised Data
- 3. 论文浅尝 | Global Relation Embedding for Relation Extraction
- 4. 论文Relational Knowledge Distillation
- 5. Context-Aware Representations for Knowledge Base Relation Extraction论文笔记
- 6. EMNLP2020 | 近期必读Relation Extraction精选论文
- 7. 【论文笔记】SelfORE: Self-supervised Relational Feature Learning for Open Relation
- 8. 【论文读后感】Dialogue-Based Relation Extraction
- 9. 论文浅尝 | Distant Supervision for Relation Extraction
- 10. 论文浅尝 | Learning with Noise: Supervised Relation Extraction
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相关文章
- 1. 【论文读后感】Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised
- 2. Open Relation Extraction- Relational Knowledge Transfer from Supervised Data to Unsupervised Data
- 3. 论文浅尝 | Global Relation Embedding for Relation Extraction
- 4. 论文Relational Knowledge Distillation
- 5. Context-Aware Representations for Knowledge Base Relation Extraction论文笔记
- 6. EMNLP2020 | 近期必读Relation Extraction精选论文
- 7. 【论文笔记】SelfORE: Self-supervised Relational Feature Learning for Open Relation
- 8. 【论文读后感】Dialogue-Based Relation Extraction
- 9. 论文浅尝 | Distant Supervision for Relation Extraction
- 10. 论文浅尝 | Learning with Noise: Supervised Relation Extraction