nrepapers.bib

@inproceedings{bunescu2007learning,
  title={Learning to extract relations from the web using minimal supervision},
  author={Bunescu, Razvan and Mooney, Raymond},
  booktitle={Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics},
  pages={576--583},
  year={2007}
}

@inproceedings{mintz2009distant,
  title={Distant supervision for relation extraction without labeled data},
  author={Mintz, Mike and Bills, Steven and Snow, Rion and Jurafsky, Dan},
  booktitle={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: Volume 2-Volume 2},
  pages={1003--1011},
  year={2009},
  organization={Association for Computational Linguistics}
}

@inproceedings{riedel2010modeling,
  title={Modeling relations and their mentions without labeled text},
  author={Riedel, Sebastian and Yao, Limin and McCallum, Andrew},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={148--163},
  year={2010},
  organization={Springer}
}

@inproceedings{hoffmann2011knowledge,
  title={Knowledge-based weak supervision for information extraction of overlapping relations},
  author={Hoffmann, Raphael and Zhang, Congle and Ling, Xiao and Zettlemoyer, Luke and Weld, Daniel S},
  booktitle={Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1},
  pages={541--550},
  year={2011},
  organization={Association for Computational Linguistics}
}

@inproceedings{socher2012semantic,
  title={Semantic compositionality through recursive matrix-vector spaces},
  author={Socher, Richard and Huval, Brody and Manning, Christopher D and Ng, Andrew Y},
  booktitle={Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning},
  pages={1201--1211},
  year={2012},
  organization={Association for Computational Linguistics}
}

@inproceedings{zeng2014relation,
  title={Relation classification via convolutional deep neural network},
  author={Zeng, Daojian and Liu, Kang and Lai, Siwei and Zhou, Guangyou and Zhao, Jun},
  booktitle={Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers},
  pages={2335--2344},
  year={2014}
}

@article{santos2015classifying,
  title={Classifying relations by ranking with convolutional neural networks},
  author={Santos, Cicero Nogueira dos and Xiang, Bing and Zhou, Bowen},
  journal={arXiv preprint arXiv:1504.06580},
  year={2015}
}

@inproceedings{zeng2015distant,
  title={Distant supervision for relation extraction via piecewise convolutional neural networks},
  author={Zeng, Daojian and Liu, Kang and Chen, Yubo and Zhao, Jun},
  booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  pages={1753--1762},
  year={2015}
}

@inproceedings{lin2016neural,
  title={Neural relation extraction with selective attention over instances},
  author={Lin, Yankai and Shen, Shiqi and Liu, Zhiyuan and Luan, Huanbo and Sun, Maosong},
  booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  volume={1},
  pages={2124--2133},
  year={2016}
}

@inproceedings{wu2017adversarial,
  title={Adversarial training for relation extraction},
  author={Wu, Yi and Bamman, David and Russell, Stuart},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1778--1783},
  year={2017}
}

@inproceedings{liu2017soft,
  title={A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction},
  author={Liu, Tianyu and Wang, Kexiang and Chang, Baobao and Sui, Zhifang},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1790--1795},
  year={2017}
}

@article{qin2018dsgan,
  title={DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction},
  author={Qin, Pengda and Xu, Weiran and Wang, William Yang},
  journal={arXiv preprint arXiv:1805.09929},
  year={2018}
}

@inproceedings{feng2018reinforcement,
  title={Reinforcement Learning for Relation Classification from Noisy Data},
  author={Feng, Jun and Huang, Minlie and Zhao, Li and Yang, Yang and Zhu, Xiaoyan},
  booktitle={Proceedings of AAAI},
  year={2018}
}

@article{qin2018robust,
  title={Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning},
  author={Qin, Pengda and Xu, Weiran and Wang, William Yang},
  journal={arXiv preprint arXiv:1805.09927},
  year={2018}
}

@inproceedings{hendrickx2009semeval,
  title={Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals},
  author={Hendrickx, Iris and Kim, Su Nam and Kozareva, Zornitsa and Nakov, Preslav and {\'O} S{\'e}aghdha, Diarmuid and Pad{\'o}, Sebastian and Pennacchiotti, Marco and Romano, Lorenza and Szpakowicz, Stan},
  booktitle={Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions},
  pages={94--99},
  year={2009},
  organization={Association for Computational Linguistics}
}

@inproceedings{mikolov2013distributed,
  title={Distributed representations of words and phrases and their compositionality},
  author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff},
  booktitle={Advances in neural information processing systems},
  pages={3111--3119},
  year={2013}
}

@inproceedings{pennington2014glove,
  title={Glove: Global vectors for word representation},
  author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher},
  booktitle={Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)},
  pages={1532--1543},
  year={2014}
}

@inproceedings{liu2013convolution,
  title={Convolution neural network for relation extraction},
  author={Liu, ChunYang and Sun, WenBo and Chao, WenHan and Che, Wanxiang},
  booktitle={International Conference on Advanced Data Mining and Applications},
  pages={231--242},
  year={2013},
  organization={Springer}
}

@inproceedings{nguyen2015relation,
  title={Relation extraction: Perspective from convolutional neural networks},
  author={Nguyen, Thien Huu and Grishman, Ralph},
  booktitle={Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing},
  pages={39--48},
  year={2015}
}

@inproceedings{jiang2016relation,
  title={Relation extraction with multi-instance multi-label convolutional neural networks},
  author={Jiang, Xiaotian and Wang, Quan and Li, Peng and Wang, Bin},
  booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  pages={1471--1480},
  year={2016}
}

@article{kumar2017survey,
  title={A Survey of Deep Learning Methods for Relation Extraction},
  author={Kumar, Shantanu},
  journal={arXiv preprint arXiv:1705.03645},
  year={2017}
}

@article{pawar2017relation,
  title={Relation Extraction: A Survey},
  author={Pawar, Sachin and Palshikar, Girish K and Bhattacharyya, Pushpak},
  journal={arXiv preprint arXiv:1712.05191},
  year={2017}
}

@inproceedings{wu2017adversarial,
  title={Adversarial training for relation extraction},
  author={Wu, Yi and Bamman, David and Russell, Stuart},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1778--1783},
  year={2017}
}

@inproceedings{liu2017soft,
  title={A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction},
  author={Liu, Tianyu and Wang, Kexiang and Chang, Baobao and Sui, Zhifang},
  booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  pages={1790--1795},
  year={2017}
}

@article{qin2018dsgan,
  title={DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction},
  author={Qin, Pengda and Xu, Weiran and Wang, William Yang},
  journal={arXiv preprint arXiv:1805.09929},
  year={2018}
}

@inproceedings{feng2018reinforcement,
  title={Reinforcement Learning for Relation Classification from Noisy Data},
  author={Feng, Jun and Huang, Minlie and Zhao, Li and Yang, Yang and Zhu, Xiaoyan},
  booktitle={Proceedings of AAAI},
  year={2018}
}

@article{qin2018robust,
  title={Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning},
  author={Qin, Pengda and Xu, Weiran and Wang, William Yang},
  journal={arXiv preprint arXiv:1805.09927},
  year={2018}
}

@article{miwa2016end,
  title={End-to-end relation extraction using lstms on sequences and tree structures},
  author={Miwa, Makoto and Bansal, Mohit},
  journal={arXiv preprint arXiv:1601.00770},
  year={2016}
}

@inproceedings{christopoulou2018walk,
  title={A Walk-based Model on Entity Graphs for Relation Extraction},
  author={Christopoulou, Fenia and Miwa, Makoto and Ananiadou, Sophia},
  booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  volume={2},
  pages={81--88},
  year={2018}
}

@article{han2018neural,
  title={Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text},
  author={Han, Xu and Liu, Zhiyuan and Sun, Maosong},
  year={2018}
}

@inproceedings{han2018hierarchical,
  title={Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention},
  author={Han, Xu and Yu, Pengfei and Liu, Zhiyuan and Sun, Maosong and Li, Peng},
  booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
  pages={2236--2245},
  year={2018}
}

@article{han2018fewrel,
  title={FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation},
  author={Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong},
  journal={arXiv preprint arXiv:1810.10147},
  year={2018}
}

@article{zeng2016incorporating,
  title={Incorporating relation paths in neural relation extraction},
  author={Zeng, Wenyuan and Lin, Yankai and Liu, Zhiyuan and Sun, Maosong},
  journal={arXiv preprint arXiv:1609.07479},
  year={2016}
}

@InProceedings{reside2018,
  author = 	"Vashishth, Shikhar
		and Joshi, Rishabh
		and Prayaga, Sai Suman
		and Bhattacharyya, Chiranjib
		and Talukdar, Partha",
  title = 	"{RESIDE}: Improving Distantly-Supervised Neural Relation Extraction using Side Information",
  booktitle = 	"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
  year = 	"2018",
  publisher = 	"Association for Computational Linguistics",
  pages = 	"1257--1266",
  location = 	"Brussels, Belgium",
  url = 	"http://aclweb.org/anthology/D18-1157"
}