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

往期精品内容推荐

微信小程序、小游戏,组件化开发框架wepy开发资源汇总分享

Barbara Plank-NLP模型的跨语言/跨领域迁移-经验分享

Pytorch官方力荐-11月新书《Pytorch深度学习实战指南》pdf及代码分享

机器学习从入门到进阶所需学习资料-包括书、视频、源码

自然语言领域中图神经网络模型(GNN)应用现状(论文)

19年11月最新-《TensorFlow 2.0深度学习算法实战教材》-中文版教材+随书代码+视频-分享.pdf

自然语言处理算法工程师历史最全资料汇总-基础知识点、面试经验

NLP、CV、语音相关AI算法工程师面试问题、代码、简历模板、知识点等资源整理分享

概率->机器学习->文本挖掘->NLP技术路线图进阶路线规划

多任务学习(Multitask-Learning)相关资料、经典论文、开源代码整理分享

ML、DL、NLP面试常考知识点、代码、算法理论基础汇总分享

2019年各大顶会神经关系抽取(NRE)优质论文整理分享相关推荐

  1. 【论文】2019年各大顶会神经关系抽取(NRE)优质论文整理分享

    点击上方,选择星标或置顶,每天给你送干货! 阅读大概需要12分钟 跟随小博主,每天进步一丢丢 整理:深度学习与NLP 本资源整理了2019年ACL, EMNLP, COLING, NAACL, AAA ...

  2. 基于监督学习和远程监督的神经关系抽取

    基于监督学习和远程监督的神经关系抽取 作者:王嘉宁  QQ:851019059  Email:lygwjn@126.com 最新:博主发表在华东师范大学学报(自然科学版)的<基于远程监督的关系抽 ...

  3. 最新最全论文合集——神经关系抽取

    AMiner平台(https://www.aminer.cn)由清华大学计算机系研发,拥有我国完全自主知识产权.平台包含了超过2.3亿学术论文/专利和1.36亿学者的科技图谱,提供学者评价.专家发现. ...

  4. 实体关系抽取几篇论文

    1.<A Unified MRC Framework for Named Entity Recognition> paper:https://arxiv.org/pdf/1910.1147 ...

  5. 知识图谱从哪儿来?实体关系抽取的现状和未来

    12月17日晚,2019年清华特奖获得者之一,清华大学自然语言处理实验室大四本科生高天宇,在智源论坛Live第1期,以<实体关系抽取的现状和未来>为主题,与150位观众进行了在线交流.本文 ...

  6. 【信息抽取】NLP中关系抽取的概念,发展及其展望

    事物.概念之间的关系是人类知识中非常重要的一个部分,但是他们通常隐藏在海量的非结构文本中.为了从文本中抽取这些关系事实,从早期的模式匹配到近年的神经网络,大量的研究在多年前就已经展开. 然而,随着互联 ...

  7. 技术动态 | 知识图谱从哪里来:实体关系抽取的现状与未来

    本文作者为:韩旭.高天宇.刘知远.转载自刘知远老师的知乎专栏,文章链接:https://zhuanlan.zhihu.com/p/91762831 最近几年深度学习引发的人工智能浪潮席卷全球,在互联网 ...

  8. 基于主体掩码的实体关系抽取方法

    点击上方蓝字关注我们 基于主体掩码的实体关系抽取方法 郑慎鹏1, 陈晓军1, 向阳1, 沈汝超2 1 同济大学电子与信息工程学院,上海 201804 2 上海国际港务(集团)股份有限公司,上海 200 ...

  9. 知识图谱从哪里来:实体关系抽取的现状与未来

    点击上方"Datawhale",选择"星标"公众号 第一时间获取价值内容 最近几年深度学习引发的人工智能浪潮席卷全球,在互联网普及带来的海量数据资源和摩尔定律支 ...

最新文章

  1. 信息安全的一些东西,初步查询了解!
  2. 百分点认知智能实验室:NLP模型开发平台在舆情分析中的设计和实践(下)
  3. 浅谈HTTP事务的一个过程
  4. boost::hana::make_map用法的测试程序
  5. 探索性数据分析,这8个流行的 Python可视化工具就够了
  6. linux 网络通讯 命令,Linux—网络通讯管理命令
  7. 机器人点焊枪接线_用于焊接机器人焊枪工具点及工件坐标系标定装置及方法与流程...
  8. 面试刷题必看!Python中的5大排序算法及其实现代码
  9. ForkJoin框架简单使用
  10. Linux系统学习:目录结构和文件管理指令
  11. 读写锁SRWLock
  12. sublime text 64位_Python学习第一步 - 用Sublime搭建Python运行环境
  13. 哨兵系列卫星_空客“哥白尼哨兵1C”卫星雷达天线首次展开双翼
  14. 光刻机巨头ASML爆料:芯片太缺,都开始拆洗衣机了!
  15. 34岁程序员月薪3万2,跳槽被国企录取,看到月收入后却犹豫了!
  16. 怎么用显卡计算_初试CUDA,入门显卡实现两千倍加速
  17. 自己搭建云存储(WIFI路由器上接硬盘)
  18. html怎样添加excel表格,html 使用 excel表格数据类型-如何给html页面添加excel表格
  19. Pytorch中的梯度知识总结
  20. 【Android 你的SurfaceView休眠了吗】

热门文章

  1. 果然AIGC还是对动漫制作下手了,不过是从数据集AnimeRun开始
  2. IDEA更新失败问题:Couldn't save uncommitted changes 解决方案
  3. C语言中squeeze的作用,pytorch下的unsqueeze和squeeze的用法说明
  4. 小幺鸡,内网服务器搭建
  5. Go Web下GORM框架使用(二)
  6. 戴尔PowerEdge T110 Ⅱ服务器U盘安装Windows Server 2019 DataCenter
  7. python用来做什么好_Python可以被用来做哪些神奇好玩的事情
  8. SQL报错盲注绕过云锁
  9. 2020中式面点师(初级)考试题及中式面点师(初级)操作证考试
  10. Oracle账号密码