Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
來源: ACL2017短文 關鍵詞：imaging captioning; attention mechanism 原文 # Motivation mermaid graph LR QA---KBQA(knowledge based) QA---raw_text(raw text) KBQA(knowledge based)---基於符號表示 KBQA(knowledge based)---基於深
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相關文章
- 1. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks2
- 2. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 3. Visual Question Answering with Memory-Augmented Networks
- 4. 論文筆記 Dynamic Memory Networks for Visual and Textual Question Answering（ICML2016)
- 5. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 6. 論文解讀：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 7. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
- 8. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
- 9. 論文略讀 | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
- 10. Attention and Memory in Deep Learning and NLP