A curated list of awesome resources dedicated to Relation Extraction, inspired by awesome-nlp and awesome-deep-vision.
Contributing: Please feel free to make pull requests.
- NLP progress: Relationship Extraction
- A Survey of Deep Learning Methods for Relation Extraction (Kumar, 2017)
- A Survey on Relation Extraction (Bach and Badaskar, 2017)
- Relation Extraction: A Survey (Pawar et al., 2017)
- A Review on Entity Relation Extraction (Zhang et al., 2017)
- A Review of Relation Extraction (Bach et al., 2007)
- Review of Relation Extraction Methods: What is New Out There? (Konstantinova et al., 2014)
- 100 Best Github: Relation Extraction
- Convolution Neural Network for Relation Extraction [paper] [code] [review]
- ChunYang Liu, WenBo Sun, WenHan Chao and WanXiang Che
- ADMA 2013
- Relation Classification via Convolutional Deep Neural Network [paper] [code] [review]
- Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao
- COLING 2014
- Relation Extraction: Perspective from Convolutional Neural Networks [paper] [code] [review]
- Thien Huu Nguyen and Ralph Grishman
- NAACL 2015
- Classifying Relations by Ranking with Convolutional Neural Networks [paper] [code]
- Cicero Nogueira dos Santos, Bing Xiang and Bowen Zhou
- ACL 2015
- Attention-Based Convolutional Neural Network for Semantic Relation Extraction [paper]
- Yatian Shen and Xuanjing Huang
- COLING 2016
- Relation Classification via Multi-Level Attention CNNs [paper] [code]
- Linlin Wang, Zhu Cao, Gerard de Melo and Zhiyuan Liu
- ACL 2016
- MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks [paper]
- Ji Young Lee, Franck Dernoncourt and Peter Szolovits
- SemEval 2017
- Relation Classification via Recurrent Neural Network [paper]
- Dongxu Zhang and Dong Wang
- arXiv 2015
- Bidirectional Long Short-Term Memory Networks for Relation Classification [paper]
- Shu Zhang, Dequan Zheng, Xinchen Hu and Ming Yang
- PACLIC 2015
- End-to-End Relation Extraction using LSTMs on Sequences and Tree Structure [paper]
- Makoto Miwa and Mohit Bansal
- ACL 2016
- Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification [paper] [code]
- Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao and Bo Xu
- ACL 2016
- Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention [paper]
- Minguang Xiao and Cong Liu
- COLING 2016
- Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing [paper]
- Joohong Lee, Sangwoo Seo and Yong Suk Choi
- summitted to SDM 2018
- Semantic Compositionality through Recursive Matrix-Vector Spaces [paper] [code]
- Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng
- EMNLP-CoNLL 2012
- Factor-based Compositional Embedding Models [paper]
- Mo Yu, Matthw R. Gormley and Mark Dredze
- NIPS Workshop on Learning Semantics 2014
- A Dependency-Based Neural Network for Relation Classification [paper]
- Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou and Houfeng Wang
- ACL 2015
- Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path [paper] [code]
- Xu Yan, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng and Zhi Jin * EMNLP 2015
- Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling [paper]
- Kun Xu, Yansong Feng, Songfang Huang and Dongyan Zhao
- EMNLP 2015
- Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation [paper]
- Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin
- COLING 2016
- Bidirectional Recurrent Convolutional Neural Network for Relation Classification [paper]
- Rui Cai, Xiaodong Zhang and Houfeng Wang
- ACL 2016
- Distant supervision for relation extraction without labeled data [paper] [review]
- Mike Mintz, Steven Bills, Rion Snow and Dan Jurafsky
- ACL 2009
- Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations [paper] [code]
- Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer and Daniel S. Weld
- ACL 2011
- Multi-instance Multi-label Learning for Relation Extraction [paper] [code]
- Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati and Christopher D. Manning
- EMNLP-CoNLL 2012
- Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [paper] [review]
- Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao
- EMNLP 2015
- Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks [paper] [review]
- Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang
- COLING 2016
- Incorporating Relation Paths in Neural Relation Extraction [paper] [review]
- Wenyuan Zeng, Yankai Lin, Zhiyuan Liu and Maosong Sun
- EMNLP 2017
- Neural Relation Extraction with Selective Attention over Instances [paper] [code]
- Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan and Maosong Sun
- ACL 2017
- Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text [paper] [code] [code]
- Desh Raj, Sunil Kumar Sahu and Ashish Anan
- CoNLL 2017
- RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [paper] [code]
- Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar
- EMNLP 2018
- Jointly Extracting Relations with Class Ties via Effective Deep Ranking [paper]
- Hai Ye, Wenhan Chao, Zhunchen Luo and Zhoujun Li
- ACL 2017
- End-to-End Neural Relation Extraction with Global Optimization [paper]
- Meishan Zhang, Yue Zhang and Guohong Fu
- EMNLP 2017
- Adversarial Training for Relation Extraction [paper]
- Yi Wu, David Bamman and Stuart Russell
- EMNLP 2017
- A neural joint model for entity and relation extraction from biomedical text[paper]
- Fei Li, Meishan Zhang, Guohong Fu and Donghong Ji
- BMC bioinformatics 2017
- Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning [paper]
- Yuntian Feng, Hongjun Zhang, Wenning Hao, and Gang Chen
- Journal of Computational Intelligence and Neuroscience 2017
- SemEval-2010 Task 8 [paper] [download]
- Multi-Way Classification of Semantic Relations Between Pairs of Nominals
- New York Times (NYT) Corpus [paper] [download]
- This dataset was generated by aligning Freebase relations with the NYT corpus, with sentences from the years 2005-2006 used as the training corpus and sentences from 2007 used as the testing corpus.
For state of the art results check out nlpprogress.com on relation extraction
- Stanford University: CS124, Dan Jurafsky
- Washington University: CSE517, Luke Zettlemoyer
- (Slide) Relation Extraction 1
- (Slide) Relation Extraction 2
- New York University: CSCI-GA.2590, Ralph Grishman
- Michigan University: Coursera, Dragomir R. Radev
- (Video) Lecture 48: Relation Extraction
- Virginia University: CS6501-NLP, Kai-Wei Chang
- (Slide) Lecture 24: Relation Extraction
To the extent possible under law, Joohong Lee has waived all copyright and related or neighboring rights to this work.