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整理：深度学习与NLP

本资源整理了2019年ACL, EMNLP, COLING, NAACL, AAAI, IJCAI等各类AI顶会中，一些神经网络关系提取（Neural Relation Extraction）相关的优质论文，文末根据关键词分类。

关键词列表：|NRC | DSRE | PGM | Combining Direct Supervision | GNN | new perspective | new dataset | joint extraction of relations and entities | few shot | BERT | path | imbalance | trick | KBE | RL | cross bag | ML | GAN | false negative | BERT

资源整理自网络，源地址：https://github.com/WindChimeRan/NREPapers2019

arxiv

1.⭐️ A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations Zhepei Wei. Jianlin Su, Yue Wang, Yuan Tian, Yi Chang

NAACL 2019

1.Structured Minimally Supervised Learning for Neural Relation Extraction Fan Bai and Alan Ritter NAACL 2019

| PGM | DSRE |

2.Combining Distant and Direct Supervision for Neural Relation Extraction Iz Beltagy, Kyle Lo and Waleed AmmarNAACL 2019

| Combining Direct Supervision | DSRE |

3.Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions Ye, Zhi-Xiu and Ling, Zhen-HuaNAACL 2019

| DSRE | cross bag |

4.A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha, Nigel Collier NAACL 2019

| path | NRC |

5.Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction Peng Xu and Denilson Barbosa NAACL 2019

| KBE | DSRE |

6.⭐️ GAN Driven Semi-distant Supervision for Relation Extraction Pengshuai Li, Xinsong Zhang, Weijia Jia, Hai ZhaoNAACL2019

| GAN | DSRE | false negative |

7.Exploiting Noisy Data in Distant Supervision Relation Classification Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen NAACL2019

| DSRE | RL | false negative |

8.⭐️ Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks Ningyu Zhang, Shumin Deng, Zhanlin Sun,Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen∗

| long tail | DSRE | GCN |

ACL 2019

1.⭐️ Graph Neural Networks with Generated Parameters for Relation Hao Zhu and Yankai Lin and Zhiyuan Liu, Jie Fu, Tat-seng Chua, Maosong Sun ACL 2019

| GNN | new task | new perspective

2.⭐️ Entity-Relation Extraction as Multi-turn Question Answering Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li Arianna Yuan, Duo Chai, Mingxin Zhou and Jiwei Li ACL2019

| new dataset | new perspective| joint extraction of relations and entities

3.⭐️ Matching the Blanks: Distributional Similarity for Relation Learning Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski ACL2019

| few shot | sota | BERT |

4.Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data Wei Ye1*, Bo Li*, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang1 ACL2019

| NRC | imbalance | trick | ranking loss |

5.GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma ACL2019

| joint extraction of relations and entities |

6.⭐️ DocRED: A Large-Scale Document-Level Relation Extraction Dataset Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun ACL2019

| document level re | new task |

7.Attention Guided Graph Convolutional Networks for Relation Extraction Zhijiang Guo*, Yan Zhang* and Wei Lu

| GCN | cross sentence re |

8.Neural Relation Extraction for Knowledge Base Enrichment Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang

| KB enrichment |

9.Joint Type Inference on Entities and Relations via Graph Convolutional Networks Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan

| GCN | joint extraction of relations and entities |

AAAI 2019

1.Hybrid Attention-based Prototypical Networks for Noisy Few-Shot Relation Classification Tianyu Gao*, Xu Han*, Zhiyuan Liu, Maosong Sun. (* means equal contribution) AAAI2019

| few shot |

2.A Hierarchical Framework for Relation Extraction with Reinforcement Learning Takanobu, Ryuichi and Zhang, Tianyang and Liu, Jiexi and Huang, Minlie AAAI2019

| joint extraction of relations and entities | RL |

3.Kernelized Hashcode Representations for Biomedical Relation Extraction Sahil Garg, Aram Galstyan, Greg Ver Steeg Irina Rish, Guillermo Cecchi, Shuyang Gao AAAI2019

| ML |

4.Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren AAAI2019

| DSRE | cross bag |

EMNLP 2019

1.⭐️ Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction Yuyun Huang, Jinhua Du EMNLP2019

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