知识图谱_关系抽取调研_文献笔记
主要有4篇知识图谱之关系抽取的文献,可以保证看了这篇博客,对关系抽取的前世今生/state of art都会非常清楚。
《Distant supervision for relation extraction without labeled data》
《Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks》
《Reinforcement Learning for Relation Classification from Noisy Data》
《DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction》
包含的基础知识:知识抽取的监督学习/半监督学习/非监督学习,关系(relation),实体(entity),实例(instance),多实例学习(multi-instance-learning),精确率(Precision)和召回率(recall)。