diff --git a/README.md b/README.md index 1239bb8..bd231cf 100644 --- a/README.md +++ b/README.md @@ -9,13 +9,17 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b * [Research Trends and Surveys](#research-trends-and-surveys) * [Papers](#papers) * [Supervised Approaches](#supervised-approaches) + * [CNN-based Models](#cnn-based-models) + * [RNN-based Models](#rnn-based-models) + * [Depenency-based Models](#dependency-based-models) + * [GNN-based Models](#gnn-based-models) * [Distant Supervision Approaches](#distant-supervision-approaches) - * [GNN-based Models](#gnn-based-models) - * [Language Models](#language-models) - * [Encoder Representation from Transformer](#encoder-representation-from-transformer) - * [Decoder Representation from Transformer](#decoder-representation-from-transformer) + * [Language Model based Approaches](#language-model-based-approaches) + * [Encoder Representation from Transformer Models](#encoder-representation-from-transformer-models) + * [Decoder Representation from Transformer Models](#decoder-representation-from-transformer-models) * [Knowledge Graph Based Approaches](#knowledge-graph-based-approaches) * [Few-Shot Learning Approaches](#few-shot-learning-approaches) + * [Miscellaneous](#miscellaneous) * [Datasets](#datasets) * [Videos and Lectures](#videos-and-lectures) * [Systems](#systems) @@ -36,154 +40,176 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b ### Supervised Approaches #### CNN-based Models -* Convolution Neural Network for Relation Extraction [[paper]](https://link.springer.com/chapter/10.1007/978-3-642-53917-6_21) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Convolution%20Neural%20Network%20for%20Relation%20Extraction/review.md) - * ChunYang Liu, WenBo Sun, WenHan Chao and WanXiang Che - * ADMA 2013 -* Relation Classification via Convolutional Deep Neural Network [[paper]](http://www.aclweb.org/anthology/C14-1220) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Classification_via_Convolutional_Deep_Neural_Network/review.md) - * Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao - * COLING 2014 -* Relation Extraction: Perspective from Convolutional Neural Networks [[paper]](http://www.cs.nyu.edu/~thien/pubs/vector15.pdf) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Extraction-Perspective_from_Convolutional_Neural_Networks/review.md) - * Thien Huu Nguyen and Ralph Grishman - * NAACL 2015 -* Classifying Relations by Ranking with Convolutional Neural Networks [[paper]](https://arxiv.org/abs/1504.06580) [[code]](https://github.com/pratapbhanu/CRCNN) - * Cicero Nogueira dos Santos, Bing Xiang and Bowen Zhou - * ACL 2015 -* Attention-Based Convolutional Neural Network for Semantic Relation Extraction [[paper]](http://www.aclweb.org/anthology/C16-1238) [[code]](https://github.com/nicolay-r/mlp-attention) - * Yatian Shen and Xuanjing Huang - * COLING 2016 -* Relation Classification via Multi-Level Attention CNNs [[paper]](http://aclweb.org/anthology/P16-1123) [[code]](https://github.com/lawlietAi/relation-classification-via-attention-model) - * 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]](https://aclanthology.info/pdf/S/S17/S17-2171.pdf) * Ji Young Lee, Franck Dernoncourt and Peter Szolovits * SemEval 2017 - -#### RNN-based Models -* Relation Classification via Recurrent Neural Network [[paper]](https://arxiv.org/abs/1508.01006) - * Dongxu Zhang and Dong Wang - * arXiv 2015 -* Bidirectional Long Short-Term Memory Networks for Relation Classification [[paper]](http://www.aclweb.org/anthology/Y15-1009) - * Shu Zhang, Dequan Zheng, Xinchen Hu and Ming Yang - * PACLIC 2015 -* End-to-End Relation Extraction using LSTMs on Sequences and Tree Structure [[paper]](https://arxiv.org/abs/1601.00770) - * Makoto Miwa and Mohit Bansal - * ACL 2016 -* Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification [[paper]](http://anthology.aclweb.org/P16-2034) [[code]](https://github.com/SeoSangwoo/Attention-Based-BiLSTM-relation-extraction) - * Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao and Bo Xu +* Relation Classification via Multi-Level Attention CNNs [[paper]](http://aclweb.org/anthology/P16-1123) [[code]](https://github.com/lawlietAi/relation-classification-via-attention-model) + * Linlin Wang, Zhu Cao, Gerard de Melo and Zhiyuan Liu * ACL 2016 -* Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention [[paper]](http://www.aclweb.org/anthology/C16-1119) - * Minguang Xiao and Cong Liu +* Attention-Based Convolutional Neural Network for Semantic Relation Extraction [[paper]](http://www.aclweb.org/anthology/C16-1238) [[code]](https://github.com/nicolay-r/mlp-attention) + * Yatian Shen and Xuanjing Huang * COLING 2016 +* Classifying Relations by Ranking with Convolutional Neural Networks [[paper]](https://arxiv.org/abs/1504.06580) [[code]](https://github.com/pratapbhanu/CRCNN) + * Cicero Nogueira dos Santos, Bing Xiang and Bowen Zhou + * ACL 2015 +* Relation Extraction: Perspective from Convolutional Neural Networks [[paper]](http://www.cs.nyu.edu/~thien/pubs/vector15.pdf) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Extraction-Perspective_from_Convolutional_Neural_Networks/review.md) + * Thien Huu Nguyen and Ralph Grishman + * NAACL 2015 +* Relation Classification via Convolutional Deep Neural Network [[paper]](http://www.aclweb.org/anthology/C14-1220) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Classification_via_Convolutional_Deep_Neural_Network/review.md) + * Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao + * COLING 2014 +* Convolution Neural Network for Relation Extraction [[paper]](https://link.springer.com/chapter/10.1007/978-3-642-53917-6_21) [[code]](https://github.com/roomylee/cnn-relation-extraction) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Convolution%20Neural%20Network%20for%20Relation%20Extraction/review.md) + * ChunYang Liu, WenBo Sun, WenHan Chao and WanXiang Che + * ADMA 2013 + +[Back to Top](#contents) + + +#### RNN-based Models * Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing [[paper]](https://arxiv.org/abs/1901.08163) [[code]](https://github.com/roomylee/entity-aware-relation-classification) * Joohong Lee, Sangwoo Seo and Yong Suk Choi * arXiv 2019 - -#### Dependency-based Models -* Semantic Compositionality through Recursive Matrix-Vector Spaces [[paper]](http://aclweb.org/anthology/D12-1110) [[code]](https://github.com/pratapbhanu/MVRNN) - * Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng - * EMNLP-CoNLL 2012 -* Factor-based Compositional Embedding Models [[paper]](https://www.cs.cmu.edu/~mgormley/papers/yu+gormley+dredze.nipsw.2014.pdf) - * Mo Yu, Matthw R. Gormley and Mark Dredze - * NIPS Workshop on Learning Semantics 2014 -* A Dependency-Based Neural Network for Relation Classification [[paper]](http://www.aclweb.org/anthology/P15-2047) - * 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]](https://arxiv.org/abs/1508.03720) [[code]](https://github.com/Sshanu/Relation-Classification) - * 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]](https://www.aclweb.org/anthology/D/D15/D15-1062.pdf) - * Kun Xu, Yansong Feng, Songfang Huang and Dongyan Zhao - * EMNLP 2015 -* Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation [[paper]](https://arxiv.org/abs/1601.03651) - * Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin +* Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention [[paper]](http://www.aclweb.org/anthology/C16-1119) + * Minguang Xiao and Cong Liu * COLING 2016 -* Bidirectional Recurrent Convolutional Neural Network for Relation Classification [[paper]](http://www.aclweb.org/anthology/P16-1072) - * Rui Cai, Xiaodong Zhang and Houfeng Wang +* Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification [[paper]](http://anthology.aclweb.org/P16-2034) [[code]](https://github.com/SeoSangwoo/Attention-Based-BiLSTM-relation-extraction) + * Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao and Bo Xu + * ACL 2016 +* End-to-End Relation Extraction using LSTMs on Sequences and Tree Structure [[paper]](https://arxiv.org/abs/1601.00770) + * Makoto Miwa and Mohit Bansal * ACL 2016 +* Bidirectional Long Short-Term Memory Networks for Relation Classification [[paper]](http://www.aclweb.org/anthology/Y15-1009) + * Shu Zhang, Dequan Zheng, Xinchen Hu and Ming Yang + * PACLIC 2015 +* Relation Classification via Recurrent Neural Network [[paper]](https://arxiv.org/abs/1508.01006) + * Dongxu Zhang and Dong Wang + * arXiv 2015 + +[Back to Top](#contents) + + +#### Dependency-based Models * Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning [[paper]](https://arxiv.org/abs/1808.06738) * Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia * EMNLP 2018 +* Bidirectional Recurrent Convolutional Neural Network for Relation Classification [[paper]](http://www.aclweb.org/anthology/P16-1072) + * Rui Cai, Xiaodong Zhang and Houfeng Wang + * ACL 2016 +* Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation [[paper]](https://arxiv.org/abs/1601.03651) + * Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin + * COLING 2016 +* Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling [[paper]](https://www.aclweb.org/anthology/D/D15/D15-1062.pdf) + * Kun Xu, Yansong Feng, Songfang Huang and Dongyan Zhao + * EMNLP 2015 +* Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path [[paper]](https://arxiv.org/abs/1508.03720) [[code]](https://github.com/Sshanu/Relation-Classification) + * Xu Yan, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng and Zhi Jin + * EMNLP 2015 +* A Dependency-Based Neural Network for Relation Classification [[paper]](http://www.aclweb.org/anthology/P15-2047) + * Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou and Houfeng Wang + * ACL 2015 +* Factor-based Compositional Embedding Models [[paper]](https://www.cs.cmu.edu/~mgormley/papers/yu+gormley+dredze.nipsw.2014.pdf) + * Mo Yu, Matthw R. Gormley and Mark Dredze + * NIPS Workshop on Learning Semantics 2014 +* Semantic Compositionality through Recursive Matrix-Vector Spaces [[paper]](http://aclweb.org/anthology/D12-1110) [[code]](https://github.com/pratapbhanu/MVRNN) + * Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng + * EMNLP-CoNLL 2012 + +[Back to Top](#contents) + #### GNN-based Models -* Matching the Blanks: Distributional Similarity for Relation Learning [[paper]](https://arxiv.org/abs/1906.03158) - * Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski - * ACL 2019 -* Relation of the Relations: A New Paradigm of the Relation Extraction Problem [[paper]](https://arxiv.org/abs/2006.03719) - * Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang - * EMNLP 2020 -* GDPNet: Refining Latent Multi-View Graph for Relation Extraction - [[paper]](https://arxiv.org/abs/2012.06780.pdf) - [[code]](https://github.com/XueFuzhao/GDPNet) - * Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng - * AAAI 21 * RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network [[parer]](https://arxiv.org/abs/2009.08694.pdf) [[code]](https://github.com/ansonb/RECON) * Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul - * WWW'21 + * WWW'21, 2021 +* GDPNet: Refining Latent Multi-View Graph for Relation Extraction + [[paper]](https://arxiv.org/abs/2012.06780.pdf) + [[code]](https://github.com/XueFuzhao/GDPNet) + * Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng + * AAAI 21, 2021 +* Relation of the Relations: A New Paradigm of the Relation Extraction Problem [[paper]](https://arxiv.org/abs/2006.03719) + * Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang + * EMNLP 2020 +* Matching the Blanks: Distributional Similarity for Relation Learning [[paper]](https://arxiv.org/abs/1906.03158) + * Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski + * ACL 2019 + +[Back to Top](#contents) + ### Distant Supervision Approaches -* Distant supervision for relation extraction without labeled data [[paper]](https://web.stanford.edu/~jurafsky/mintz.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_supervision_for_relation_extraction_without_labeled_data/review.md) - * Mike Mintz, Steven Bills, Rion Snow and Dan Jurafsky - * ACL 2009 -* Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations [[paper]](http://www.aclweb.org/anthology/P11-1055) [[code]](http://aiweb.cs.washington.edu/ai/raphaelh/mr/) - * Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer and Daniel S. Weld - * ACL 2011 -* Multi-instance Multi-label Learning for Relation Extraction [[paper]](http://www.aclweb.org/anthology/D12-1042) [[code]](https://nlp.stanford.edu/software/mimlre.shtml) - * Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati and Christopher D. Manning - * EMNLP-CoNLL 2012 -* Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [[paper]](http://www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP203.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_Supervision_for_Relation_Extraction_via_Piecewise_Convolutional_Neural_Networks/review.md) [[code]](https://github.com/nicolay-r/sentiment-pcnn) - * Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao - * EMNLP 2015 -* Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks [[paper]](https://pdfs.semanticscholar.org/8731/369a707046f3f8dd463d1fd107de31d40a24.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Extraction_with_Multi-instance_Multi-label_Convolutional_Neural_Networks/review.md) [[code]](https://github.com/may-/cnn-re-tf) - * Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang - * COLING 2016 -* Incorporating Relation Paths in Neural Relation Extraction [[paper]](http://aclweb.org/anthology/D17-1186) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Incorporating_Relation_Paths_in_Neural_Relation_Extraction/review.md) - * Wenyuan Zeng, Yankai Lin, Zhiyuan Liu and Maosong Sun - * EMNLP 2017 -* Neural Relation Extraction with Selective Attention over Instances [[paper]](http://www.aclweb.org/anthology/P16-1200) [[code]](https://github.com/thunlp/OpenNRE/) - * 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]](http://www.aclweb.org/anthology/K17-1032) [[code]](https://github.com/desh2608/crnn-relation-classification) [[code]](https://github.com/kwonmha/Convolutional-Recurrent-Neural-Networks-for-Relation-Extraction) - * Desh Raj, Sunil Kumar Sahu and Ashish Anan - * CoNLL 2017 -* Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention[[paper]](https://aclweb.org/anthology/D18-1247)[[code]](https://github.com/thunlp/HNRE) - * Xu Han, Pengfei Yu∗, Zhiyuan Liu, Maosong Sun, Peng Li - * EMNLP 2018 -* RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [[paper]](http://malllabiisc.github.io/publications/papers/reside_emnlp18.pdf) [[code]](https://github.com/malllabiisc/RESIDE) - * Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar - * EMNLP 2018 * Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions [[paper]](https://arxiv.org/abs/1904.00143.pdf) [[code]](https://github.com/ZhixiuYe/Intra-Bag-and-Inter-Bag-Attentions) * Zhi-Xiu Ye, Zhen-Hua Ling * NAACL 2019 +* RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [[paper]](http://malllabiisc.github.io/publications/papers/reside_emnlp18.pdf) [[code]](https://github.com/malllabiisc/RESIDE) + * Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar + * EMNLP 2018 +* Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention[[paper]](https://aclweb.org/anthology/D18-1247)[[code]](https://github.com/thunlp/HNRE) + * Xu Han, Pengfei Yu∗, Zhiyuan Liu, Maosong Sun, Peng Li + * EMNLP 2018 +* Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text [[paper]](http://www.aclweb.org/anthology/K17-1032) [[code]](https://github.com/desh2608/crnn-relation-classification) [[code]](https://github.com/kwonmha/Convolutional-Recurrent-Neural-Networks-for-Relation-Extraction) + * Desh Raj, Sunil Kumar Sahu and Ashish Anan + * CoNLL 2017 +* Neural Relation Extraction with Selective Attention over Instances [[paper]](http://www.aclweb.org/anthology/P16-1200) [[code]](https://github.com/thunlp/OpenNRE/) + * Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan and Maosong Sun + * ACL 2017 +* Incorporating Relation Paths in Neural Relation Extraction [[paper]](http://aclweb.org/anthology/D17-1186) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Incorporating_Relation_Paths_in_Neural_Relation_Extraction/review.md) + * Wenyuan Zeng, Yankai Lin, Zhiyuan Liu and Maosong Sun + * EMNLP 2017 +* Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks [[paper]](https://pdfs.semanticscholar.org/8731/369a707046f3f8dd463d1fd107de31d40a24.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Relation_Extraction_with_Multi-instance_Multi-label_Convolutional_Neural_Networks/review.md) [[code]](https://github.com/may-/cnn-re-tf) + * Xiaotian Jiang, Quan Wang, Peng Li, Bin Wang + * COLING 2016 +* Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [[paper]](http://www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP203.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_Supervision_for_Relation_Extraction_via_Piecewise_Convolutional_Neural_Networks/review.md) [[code]](https://github.com/nicolay-r/sentiment-pcnn) + * Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao + * EMNLP 2015 +* Multi-instance Multi-label Learning for Relation Extraction [[paper]](http://www.aclweb.org/anthology/D12-1042) [[code]](https://nlp.stanford.edu/software/mimlre.shtml) + * Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati and Christopher D. Manning + * EMNLP-CoNLL 2012 +* Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations [[paper]](http://www.aclweb.org/anthology/P11-1055) [[code]](http://aiweb.cs.washington.edu/ai/raphaelh/mr/) + * Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer and Daniel S. Weld + * ACL 2011 +* Distant supervision for relation extraction without labeled data [[paper]](https://web.stanford.edu/~jurafsky/mintz.pdf) [[review]](https://github.com/roomylee/paper-review/blob/master/relation_extraction/Distant_supervision_for_relation_extraction_without_labeled_data/review.md) + * Mike Mintz, Steven Bills, Rion Snow and Dan Jurafsky + * ACL 2009 -### Language Models +[Back to Top](#contents) -#### Encoder Representation from Transformer -* Enriching Pre-trained Language Model with Entity Information for Relation Classification [[paper]](https://arxiv.org/abs/1905.08284.pdf) - * Shanchan Wu, Yifan He - * arXiv 2019 + +### Language Model based Approaches + +#### Encoder Representation from Transformer Models +* Efficient long-distance relation extraction with DG-SpanBERT + [[paper]](https://arxiv.org/abs/2004.03636) + * Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang + * 2020 +* SpanBERT: Improving pre-training by representing and predicting spans [[paper]](https://arxiv.org/abs/1907.10529.pdf) [[code]](https://github.com/facebookresearch/SpanBERT) + * Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer and Omer Levy + * TACL 2020 (Transactions of the Association for Computational Linguistics) * LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention [[paper]](https://www.aclweb.org/anthology/2020.emnlp-main.523/) [[code]](https://github.com/studio-ousia/luke) * Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji Matsumoto * EMNLP 2020 -* SpanBERT: Improving pre-training by representing and predicting spans [[paper]](https://arxiv.org/abs/1907.10529.pdf) [[code]](https://github.com/facebookresearch/SpanBERT) - * Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer and Omer Levy - * TACL 2020 (Transactions of the Association for Computational Linguistics) -* Efficient long-distance relation extraction with DG-SpanBERT - [[paper]](https://arxiv.org/abs/2004.03636) - * Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang +* Enriching Pre-trained Language Model with Entity Information for Relation Classification [[paper]](https://arxiv.org/abs/1905.08284.pdf) + * Shanchan Wu, Yifan He + * arXiv 2019 -#### Decoder Representation from Transformer +[Back to Top](#contents) + + +#### Decoder Representation from Transformer Models * Improving Relation Extraction by Pretrained Language Representations [[paper]](https://arxiv.org/abs/1906.03088) [[review]](https://openreview.net/forum?id=BJgrxbqp67) [[code]](https://github.com/DFKI-NLP/TRE) * Christoph Alt, Marc Hübner, Leonhard Hennig * AKBC 19 + +[Back to Top](#contents) + ### Knowledge Graph Based Approaches * KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction @@ -191,11 +217,17 @@ A curated list of awesome resources dedicated to Relation Extraction, inspired b [[code]](https://github.com/nadgeri14/KGPool) * Abhishek Nadgeri, Anson Bastos, Kuldeep Singh, Isaiah Onando Mulang, Johannes Hoffart, Saeedeh Shekarpour, and Vijay Saraswat * ACL 2021 (findings) + +[Back to Top](#contents) + ### Few-Shot Learning Approaches * FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation [[paper]](https://arxiv.org/abs/1810.10147) [[website]](http://zhuhao.me/fewrel) [[code]](https://github.com/ProKil/FewRel) * Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun * EMNLP 2018 + +[Back to Top](#contents) + ### Miscellaneous * Jointly Extracting Relations with Class Ties via Effective Deep Ranking [[paper]](http://aclweb.org/anthology/P17-1166) @@ -264,7 +296,6 @@ For state of the art results check out [nlpprogress.com on relation extraction]( * [Virginia University: CS6501-NLP](http://web.cs.ucla.edu/~kwchang/teaching/NLP16/), Kai-Wei Chang * (Slide) [Lecture 24: Relation Extraction](http://web.cs.ucla.edu/~kwchang/teaching/NLP16/slides/24-relation.pdf) - [Back to Top](#contents) @@ -300,8 +331,6 @@ For state of the art results check out [nlpprogress.com on relation extraction]( The framework poses no theoretical restrictions to the window from which frames are extracted. Thus, this concept may cover sentence-level, document-level and multi-document RE tasks. - - [Back to Top](#contents)