【论文笔记】Semantic Parsing on Freebase from Question-Answer Pairs
一、概要 该文章发于EMNLP 2013，作者提出训练一个语义解析器（semantic parser），基于该语义解析器进行KBQA(knowledge base question answering），具体步骤是语义解析器把输入问题解析为logical forms，再基于这种结构化的表达从知识库（knowledge base）中寻找答案。其中面临的困难的怎么从问题句子中降低可能的logica
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相关文章
- 1. Semantic Parsing on Freebase from Question-Answer Pairs【论文笔记】
- 2. 论文阅读：Semantic Parsing on Freebase from Question-Answer Pairs
- 3. 【论文笔记】Large-scale Semantic Parsing without Question-Answer Pairs
- 4. Merging Weak and Active Supervision for Semantic Parsing论文笔记
- 5. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision读书笔记
- 6. 论文笔记-PSPNet-Semantic Segmentation--Pyramid Scene Parsing Network
- 7. 【论文笔记-semantic segmentation】deeplabv3+
- 8. More Accurate Question Answering on Freebase阅读笔记
- 9. Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base（笔记）
- 10. 【论文笔记】Information Extraction over Structured Data: Question Answering with Freebase