【论文笔记】Question Answering over Freebase with Multi-Column Convolutional Neural Networks
一、概要 该文章发于ACL 2015，作者提出了一个基于Freebase，使用multi-column convolutional neural networks(MCCNNs)的自动问答模型，分别从答案路径（answer path）, 答案背景信息（answer context）, 以及答案类型（answer type) 来理解问题，并学习它们的分布式表示（distributed repre
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相关文章
- 1. 论文浅尝 | Question Answering over Freebase
- 2. Information Extraction over Structured Data: Question Answering with Freebase【论文笔记】
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