论文解读：Improved Neural Relation Detection for Knowledge Base Question Answering
论文解读：Improved Neural Relation Detection for Knowledge Base Question Answering 本文解决KBQA中的子问题——Relation Detection（关系检测）。关系检测目的是给定一个问句，根据知识库来判断该问句目标的关系是什么。例如问句“中国的首都是哪里”，我们会先锁定问句的中心实体（主题词）是“中国”，其次检测这句话
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相关文章
- 1. Improved Neural Relation Detection for Knowledge Base Question Answering
- 2. 论文解读：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
- 3. 论文浅尝 | Improved Neural Relation Detection for KBQA
- 4. 论文解读：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 5. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering读书笔记
- 6. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering笔记
- 7. 论文略读 | Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
- 8. 论文阅读 Question Answering
- 9. Knowledge Base Question Answering via Encodin of Complex Query Graphs
- 10. 论文总结之问答生成《Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering》