论文标题
神经关系提取：调查
Neural relation extraction: a survey
论文作者
论文摘要
神经关系提取使用深度学习方法从非结构化文本中发现实体之间的语义关系。在这项研究中，我们对基于神经网络的关系提取方法进行了全面综述。我们讨论了现有研究的有利和无能的方面，并研究了该领域的其他研究方向和改进思想。
Neural relation extraction discovers semantic relations between entities from unstructured text using deep learning methods. In this study, we present a comprehensive review of methods on neural network based relation extraction. We discuss advantageous and incompetent sides of existing studies and investigate additional research directions and improvement ideas in this field.
