Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks2
ACL 2017年论文 Abs: 核心思想是对KB和text的集合，对知识库的一种扩展，甚至再细一点，应该算是对text三元组的提取，使用universal schema将KB和text得到的知识映射到同一个embedding space中，然后就是key-value MemoryNetwork的事了。 1. universal schema是什么？ 一般用于处理知识库文本中的关系抽取问题，通过e
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相关文章
- 1. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
- 2. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 3. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 4. 论文解读：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 5. 论文略读 | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
- 6. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
- 7. 【论文解读 AAAI 2020 | GNTP】Differentiable Reasoning on Large Knowledge Bases and Natural Language
- 8. 论文笔记 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
- 9. (Paper Reading)Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- 10. Neural Generative Question Answering笔记