【论文阅读笔记】A Biomedical Information Extraction Primer for NLP Researchers

       本文发布在Arxiv2017，就NLP技术应用于医学信息提取的三个维度：命名实体识别和事实提取，语义关系抽取和事件提取进行简单总结论述，总结了医学信息中同义词，一词多意，文本噪声等给NLP带来的困难。每个维度从传统机器学习和目前深度学习技术应用到生物学信息提取的方法进行描述。文章个人觉得写得一般，总结不是很全面，但是其中的涉及的部分参考文献可以一看：

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In EMNLP. pages 1753–1762