Information Extraction over Structured Data: Question Answering with Freebase【论文笔记】
Information Extraction over Structured Data:Question Answering with Freebase 一、摘要 最近，人们一直在探索使用Freebase知识库来回答自然语言问题，作为在开放域语义分析中推进最新技术发展的平台。 这些努力将问题映射到复杂的意义表示，然后尝试将其与知识库中的可行答案候选者进行匹配。 在这里，我们
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相关文章
- 1. 【论文笔记】Information Extraction over Structured Data: Question Answering with Freebase
- 2. 【论文笔记】Question Answering over Freebase with Multi-Column Convolutional Neural Networks
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- 8. 【论文笔记】Question Answering with Subgraph Embeddings
- 9. Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
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