论文略读 | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
这是何世柱老师团队发表于COLING2018的一篇文章。 一. 文章贡献： 提出进行模式提取和实体链接，并提出模式修改程序来缓解错误传播问题 学习对候选主谓词对进行排序以使得能够在给出问题的情况下进行相关事实检索，我们建议通过关系检测来增强联合事实选择。利用多级编码和多维信息（计算语义相似性，问题话语和主语谓语对的多级编码）来加强整个过程 我们的方法在Simple KB-QA任务中创造了一项新记录
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相关文章
- 1. 论文解读：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 2. 论文略读 | Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
- 3. A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs 论文解读
- 4. 论文解读：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
- 5. # Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Netwo
- 6. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
- 7. 论文浅尝 | Question Answering over Freebase
- 8. 【PaperReading】Knowledge Graph Embedding Based Question Answering
- 9. 论文阅读 Question Answering
- 10. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks2