人工智能研究
知识图谱-知识抽取-关系抽取 东南大学推荐 经典论文和解读
2023-05-31 15:35:23
整理自 https://github.com/npubird/KnowledgeGraphCourse，论文列表由东南大学推荐的，主要是 关系抽取方向经典和重要论文。其他解读博客和代码
RE & scoring in DeepQA
2012IBM
IBM Watson揭秘(DeepQA)
Semantic Compositionality RMV
2012
Semantic compositionality解读
CNN for Relation Extraction
2013
CNN for relation extractio解读
Relation Classification viaCNN
2014
Relation Classification Github
tensorflow
Relation Classification解读
CR by Ranking CNN
ACL2015
CR Rank CNN 解读
CR By rank CNN Github
tensorflow
Distant Supervision for RE
2015
Distant Supervision for RE解读
Distant Supervision Github
tensorflow
E2E ER using LSTMs
ACL2016
E2E RE Using LSTM解读
E2E ER LSTM Github
Attention-Based Bi-LSTM RE
2016
Attention-based Bi-LSTM RC解读
Attention-based bi-LSTM Github
pytorch
RE with selective attention
2016
RE with SelectiveAttention解读
OpenNRE 关系抽取工具包 Github
pytorch
NRE 数据集 NYT10
Bi-RCNN for RE
2016ACL
Bi-RCNN for RE 简评
RE Multi-Level Attention CNNs
2016
multi-level attention cnns解读
RE Multi-lingual Attention
2017ACL
RE multi-lingual attention解读
multi-lingual attention Github
Deep Residual for RE
EMNLP2017
Deep residual for RE 解读
Deep residual for RE Github
Distant supervision for RE
AAAI2017
Distant supervision 解读
Adversarial Training for RE
2017
Adversarial Training RE Github
Joint Extraction of RE
2017
Joint Extraction 解读
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