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Relation classification is an important NLP task to extract relations between entities.
Distant Supervision for Relation Extraction Without Labeled Data. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
Earlier work this paper cites.
SemEval-2010 Task 8: Multi-way Classification of Semantic Relations Between Pairs of Nominals. In Proceedings of the 5th International Workshop on Semantic Evaluation
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó. Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
Earlier work this paper cites.
Utd: Classifying semantic relations by combining lexical and semantic resources. In Proceedings of the 5th International Workshop on Semantic Evaluation
Bryan Rink and Sanda Harabagiu. 2010 · 2010
Earlier work this paper cites.
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. In The 49th Annual Meeting of the Association for Computational Linguistics, ACL 2011
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S. Zettlemoyer, and Daniel S. Weld. 2011 · 2011
Earlier work this paper cites.
Semantic Compositionality Through Recursive Matrix-vector Spaces. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. 2012 · 2012
Earlier work this paper cites.
Factor-based compositional embedding models. In In NIPS Workshop on Learning Semantics
Mo Yu, Matthew R. Gormley, and Mark Dredze. 2014 · 2014
Earlier work this paper cites.
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014 · 2014
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Semi-supervised Sequence Learning
Andrew M Dai and Quoc V Le. 2015 · 2015
Earlier work this paper cites.
Classifying Relations by Ranking with Convolutional Neural Networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015
Cícero Nogueira dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
Cited alongside, same era.
Classifying Relations by Ranking with Convolutional Neural Networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, (ACL) 2015
Cicero Nogueira Dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
Cited alongside, same era.
Neural Relation Extraction with Selective Attention over Instances. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Cited alongside, same era.
Semi-supervised sequence tagging with bidirectional language models
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017 · 2017
Later among the works it cites.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Later among the works it cites.
Universal Language Model Fine-tuning for Text Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Attention-based Convolutional Neural Network for Semantic Relation Extraction. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Yatian Shen and Xuanjing Huang. 2016 · 2016
Cited alongside, same era.
Relation Classification via Multi-Level Attention CNNs. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
Linlin Wang, Zhu Cao, Gerard de Melo, and Zhiyuan Liu. 2016 · 2016
Cited alongside, same era.
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Guoliang Ji, Kang Liu, Shizhu He, and Jun Zhao. 2017 · 2017
Cited alongside, same era.
Sebastian Ruder and Jeremy Howard. 2018 · 2018
Later among the works it cites.
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing
Joohong Lee, Sangwoo Seo, and Yong Suk Choi. 2019 · 2019
Closest in time.
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Shanchan Wu, Fan Kai, and Qiong Zhang. 2019 · 2019
Closest in time.