DAILY PAPER 002 -- Message Passing for Complex Question Answering over Knowledge Graphs

时间 2021-01-02

标签 Daily Paper 繁體版

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TITLE: Message Passing for Complex Question Answering over Knowledge Graphs AUTHOR(S): Svitlana Vakulenko：阿姆斯特丹大学语言理解和信息搜索研究所（ILPS）数据科学博士后，研究方向为自然语言处理、对话系统、问答、对话搜索； Javier David Fernandez Garcia； Axel

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1. Knowledge Base Question Answering via Encodin of Complex Query Graphs
2. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
3. 论文解读：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
4. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
5. Explainable Reasoning over Knowledge Graphs for Recommendation
6. A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs 论文解读
7. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering笔记
8. An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global
9. 【PaperReading】Knowledge Graph Embedding Based Question Answering
10. 论文解读：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
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1. Knowledge Base Question Answering via Encodin of Complex Query Graphs
2. Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
3. 论文解读：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
4. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
5. Explainable Reasoning over Knowledge Graphs for Recommendation
6. A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs 论文解读
7. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering笔记
8. An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global
9. 【PaperReading】Knowledge Graph Embedding Based Question Answering
10. 论文解读：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...

>>更多相关文章<<