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Neural Relation Extraction (NRE)

This is my repository about neural relation extraction.

distant supervision for relation extraction

papers

No Time Paper Pros Cons
0911 200911 Distant supervision for relation extraction without labeled data 很多,比如:无需人工标注、成本低、大容量数据集、能够规避一些困扰监督学习的问题 1. 噪声大,性能不够强
2. 需要人为设计特征
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15 2015 Distant supervisionfor relation extraction via piecewise convolutional neural networks. 1. 使用**PCNNs**s神经网络选择最大概率为valid instance的句子来从中提取特征,不依赖于传统的NLP工具 1. 每个bag中仅仅选择一个句子(最大概率)作为valid instance,导致它未能充分利用bag中的信息
17 2017 Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions 1. bag中会考虑多个 valid Instance
2. 由神经网络来提取特征
3. 提出**entity descriptions**思路
1904 201904 Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions 1. 除了intra-bag(包内) attentions,还添加了inter-bag(包间) attentions