├── .DS_Store ├── README.md └── papers.bib /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/qtli/Papers-on-Dialogue-System/HEAD/.DS_Store -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Research Progress on Emotion-related Dialogue Systems (ongoing) 2 | 3 | ## Surveys 4 | 5 | 1. Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang. **A Survey on Dialogue Systems: Recent Advances and New Frontiers**. ACM SIGKDD 2017 [[paper]](http://arxiv.org/abs/1711.01731) 6 | 1. Facebook AI Research. **Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions**. arxiv 2020 [[paper]](http://arxiv.org/abs/1711.01731) 7 | 8 | ## Datasets 9 | 10 | ### Emotional Dialogue 11 | 12 | 1. **DailyDialog**. [[paper]](https://www.aclweb.org/anthology/I17-1099.pdf) 13 | 1. **EmotionLines**. [[paper]](http://www.lrec-conf.org/proceedings/lrec2018/pdf/581.pdf) 14 | 1. **MELD**. [[paper]](https://www.aclweb.org/anthology/P19-1050.pdf) 15 | 1. **MPDD (Chinese)**. [[paper]](https://www.aclweb.org/anthology/2020.lrec-1.76.pdf) 16 | 17 | ### Empathetic Dialogue 18 | 19 | 1. **EmpatheticDialogues**. [[paper]](https://www.aclweb.org/anthology/P19-1050.pdf) 20 | 1. **Towards Emotional Support Dialog Systems**. ACL 2021. [[paper]](https://aclanthology.org/2021.acl-long.269.pdf) 21 | 1. **A Large-Scale Dataset for Empathetic Response Generation**. EMNLP 2021. [[paper]]() 22 | 23 | 24 | 25 | ### Emotion-related Resources 26 | 1. **NRC (Crowdsourcing a word–emotion association lexicon)**. [[paper]](https://arxiv.org/abs/1308.6297) 27 | 1. **NRC_VAD (Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words)**. [[paper]](https://www.aclweb.org/anthology/P18-1017) 28 | 1. **CancerEmo (A Dataset for Fine-Grained Emotion Detection)**. [[paper]](https://www.aclweb.org/anthology/2020.emnlp-main.715.pdf) 29 | 30 | 31 | ## Papers 32 | 33 | 34 | ### Empathetic Dialogue 35 | 1. Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen. **Knowledge Bridging for Empathetic Dialogue Generation**. AAAI 2022. [[paper]](http://arxiv.org/abs/2009.09708) 36 | 1. Jun Gao, Yuhan Liu, Haolin Deng, Wei Wang, Yu Cao, Jiachen Du, Ruifeng Xu. **Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations**. EMNLP 2021 Findings. [[paper]](https://aclanthology.org/2021.findings-emnlp.70) 37 | 1. Hyunwoo Kim, Byeongchang Kim, Gunhee Kim. **Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**. EMNLP 2021 [[paper]](https://arxiv.org/abs/2109.08828) 38 | 1. Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou. **Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation**. EMNLP 2021 Findings. [[paper]](https://arxiv.org/abs/2109.07779) 39 | 1. Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang. **Towards Emotional Support Dialog Systems**. ACL 2021. [[paper]](https://aclanthology.org/2021.acl-long.269.pdf) 40 | 1. Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang. CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. ACL 2021 Findings. [[paper]](https://aclanthology.org/2021.findings-acl.72.pdf) 41 | 1. Yubo Xie, Pearl Pu. Empathetic Dialog Generation with Fine-Grained Intents. CoNLL 2021. [[Paper]](https://arxiv.org/abs/2105.06829) 42 | 1. Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen. **EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation**. In Proceedings of COLING 2020. [[paper]](https://aclanthology.org/2020.coling-main.394) 43 | 1. Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu and Chunyan Miao. **Endowing Empathetic Conversational Models with Personas**. In Proceedings of EMNLP 2020. [[paper]](https://arxiv.org/pdf/2004.12316.pdf) 44 | 1. Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung. **Generating Empathetic Responses by Looking Ahead the User’s Sentiment**. In Proceedings of ICASSP 2020. [[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9054379) 45 | 1. Anuradha Welivita, Pearl Pu. **A Taxonomy of Empathetic Response Intents in Human Social Conversations**. In Proceedings of COLING 2020. [[paper]]() 46 | 1. Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki and Jun Goto. **MIME: MIMicking Emotions for Empathetic Response Generation**. In Proceedings of EMNLP 2020. [[paper]](https://arxiv.org/abs/2010.01454) 47 | 1. Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung. **CAiRE: An Empathetic Neural Chatbot**. In Proceedings of AAAI 2020. [[demo paper]](http://arxiv.org/abs/1907.12108) 48 | 1. Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau. **Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset**. In Proceedings of ACL 2019. [[paper]](http://arxiv.org/abs/1908.07687) 49 | 1. Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung. **MoEL: Mixture of Empathetic Listeners**. In Proceedings of EMNLP 2019. [[paper]](http://arxiv.org/abs/1908.07687) 50 | 1. Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu. **Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction**. In Proceedings of CIKM 2019. [[paper]](http://doi.acm.org/10.1145/3357384.3357937) 51 | 52 | 53 | ### Emotional Dialogue 54 | 1. Lei Shen, Yang Feng. **CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation**. In Proceedings of ACL 2020. [[paper]](http://arxiv.org/abs/2005.00329) 55 | 1. Ao Zhang, Shizhan Chen, Xiaowang Zhang, Rui Li, Xinzhi Zhang. **A Knowledge-Enriched Model for Emotional Conversation Generation**. In Proceedings of WWW 2020. [[short paper]](https://dl.acm.org/doi/10.1145/3366424.3382693) 56 | 1. Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang. **Generating Responses with a Specific Emotion in Dialog**. In Proceedings of ACL 2019. [[paper]](https://www.aclweb.org/anthology/P19-1359) 57 | 1. Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia. **Affect-Driven Dialog Generation**. In Proceedings of NAACL 2019. [[paper]](https://arxiv.org/pdf/1904.02793.pdf) 58 | 1. Peixiang Zhong, Di Wang, Chunyan Miao. **An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss**. In Proceedings of AAAI 2019. [[paper]](http://arxiv.org/abs/1811.07078) 59 | 1. Xianda Zhou, William Yang Wang. **MojiTalk: Generating Emotional Responses at Scale**. In Proceedings of ACL 2018. [[paper]](https://www.aclweb.org/anthology/P18-1104) 60 | 1. Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri. **Automatic Dialogue Generation with Expressed Emotions**. In Proceedings of NAACL 2018. [[paper]](https://www.aclweb.org/anthology/N18-2008) 61 | 1. Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu. **Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory**. In Proceedings of AAAI 2018. [[paper]](https://arxiv.org/pdf/1704.01074.pdf) 62 | 63 | 64 | ### Emotion Detection in Dialogue 65 | 1. Mahshid Hosseini, Cornelia Caragea. **Distilling Knowledge for Empathy Detection**. EMNLP 2021 Findings. [[paper]]() 66 | 1. Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki and Jun Goto. **Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations**. In Proceedings of EMNLP 2020. [[paper]](https://www.aclweb.org/anthology/2020.emnlp-main.597.pdf) 67 | 1. Faeze Brahman and Snigdha Chaturvedi. **Modeling Protagonist Emotions for Emotion-Aware Storytelling**. In Proceedings of EMNLP 2020. [[paper]](https://arxiv.org/abs/2010.06822) 68 | 1. Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin, **An Iterative Emotion Interaction Network for Emotion Recognition in Conversations**. In Proceedings of COLING 2020. [[paper]]() 69 | 1. Connor T. Heaton, David M. Schwartz. **Language Models as Emotional Classifiers for Textual Conversations**. arxiv 2020. [[paper]](http://arxiv.org/abs/2008.12360) 70 | 1. Peixiang Zhong, Di Wang, Chunyan Miao. **Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations**. In Proceedings of EMNLP 2019. [[paper]](https://www.aclweb.org/anthology/D19-1016) 71 | 1. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh. **DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation**. In Proceedings of EMNLP 2019. [[paper]](https://www.aclweb.org/anthology/D19-1015) 72 | 1. Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria. **DialogueRNN: An Attentive RNN for Emotion Detection in Conversations**. In Proceedings of AAAI 2019. [[paper]](http://arxiv.org/abs/1811.00405) 73 | 1. Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gomez, Fabio A. Gonzalez, Thamar Solorio. **Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books**. In Proceedings of NAACL 2018. [[paper]](https://www.aclweb.org/anthology/N18-2042.pdf) 74 | 1. Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann. **ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection**. In Proceedings of EMNLP 2018. [[paper]](https://www.aclweb.org/anthology/D18-1280) 75 | 76 | 77 | ### Others 78 | 1. Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth Forbus, Jianfeng Gao. **NICE: Neural Image Commenting with Empathy**. EMNLP 2021. [[paper]](https://www.microsoft.com/en-us/research/uploads/prod/2021/10/NICE_EMNLP2021.pdf) 79 | 1. Kezhen Chen Qiuyuan Huang Daniel McDuff Jianfeng Wang Hamid Palangi Xiang Gao Kevin Li Kenneth Forbus Jianfeng Gao. **NICE: Neural Image Commenting Evaluation with an Emphasis on Emotion and Empathy**. NeurIPS 2020. [[paper]](https://www.microsoft.com/en-us/research/uploads/prod/2020/12/NICE.pdf) [[video]](https://slideslive.at/38942386/nice-neural-image-commenting-evaluation-with-an-emphasis-on-emotion-and-empathy?ref=speaker-22976-latest) 80 | -------------------------------------------------------------------------------- /papers.bib: -------------------------------------------------------------------------------- 1 | @inproceedings{bunescu2007learning, 2 | title={Learning to extract relations from the web using minimal supervision}, 3 | author={Bunescu, Razvan and Mooney, Raymond}, 4 | booktitle={Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics}, 5 | pages={576--583}, 6 | year={2007} 7 | } 8 | 9 | @inproceedings{mintz2009distant, 10 | title={Distant supervision for relation extraction without labeled data}, 11 | author={Mintz, Mike and Bills, Steven and Snow, Rion and Jurafsky, Dan}, 12 | 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}, 13 | pages={1003--1011}, 14 | year={2009}, 15 | organization={Association for Computational Linguistics} 16 | } 17 | 18 | @inproceedings{riedel2010modeling, 19 | title={Modeling relations and their mentions without labeled text}, 20 | author={Riedel, Sebastian and Yao, Limin and McCallum, Andrew}, 21 | booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases}, 22 | pages={148--163}, 23 | year={2010}, 24 | organization={Springer} 25 | } 26 | 27 | @inproceedings{hoffmann2011knowledge, 28 | title={Knowledge-based weak supervision for information extraction of overlapping relations}, 29 | author={Hoffmann, Raphael and Zhang, Congle and Ling, Xiao and Zettlemoyer, Luke and Weld, Daniel S}, 30 | booktitle={Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1}, 31 | pages={541--550}, 32 | year={2011}, 33 | organization={Association for Computational Linguistics} 34 | } 35 | 36 | @inproceedings{socher2012semantic, 37 | title={Semantic compositionality through recursive matrix-vector spaces}, 38 | author={Socher, Richard and Huval, Brody and Manning, Christopher D and Ng, Andrew Y}, 39 | booktitle={Proceedings of the 2012 joint conference on empirical methods in natural language processing and computational natural language learning}, 40 | pages={1201--1211}, 41 | year={2012}, 42 | organization={Association for Computational Linguistics} 43 | } 44 | 45 | @inproceedings{zeng2014relation, 46 | title={Relation classification via convolutional deep neural network}, 47 | author={Zeng, Daojian and Liu, Kang and Lai, Siwei and Zhou, Guangyou and Zhao, Jun}, 48 | booktitle={Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers}, 49 | pages={2335--2344}, 50 | year={2014} 51 | } 52 | 53 | @article{santos2015classifying, 54 | title={Classifying relations by ranking with convolutional neural networks}, 55 | author={Santos, Cicero Nogueira dos and Xiang, Bing and Zhou, Bowen}, 56 | journal={arXiv preprint arXiv:1504.06580}, 57 | year={2015} 58 | } 59 | 60 | @inproceedings{zeng2015distant, 61 | title={Distant supervision for relation extraction via piecewise convolutional neural networks}, 62 | author={Zeng, Daojian and Liu, Kang and Chen, Yubo and Zhao, Jun}, 63 | booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing}, 64 | pages={1753--1762}, 65 | year={2015} 66 | } 67 | 68 | @inproceedings{lin2016neural, 69 | title={Neural relation extraction with selective attention over instances}, 70 | author={Lin, Yankai and Shen, Shiqi and Liu, Zhiyuan and Luan, Huanbo and Sun, Maosong}, 71 | booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, 72 | volume={1}, 73 | pages={2124--2133}, 74 | year={2016} 75 | } 76 | 77 | @inproceedings{wu2017adversarial, 78 | title={Adversarial training for relation extraction}, 79 | author={Wu, Yi and Bamman, David and Russell, Stuart}, 80 | booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing}, 81 | pages={1778--1783}, 82 | year={2017} 83 | } 84 | 85 | @inproceedings{liu2017soft, 86 | title={A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction}, 87 | author={Liu, Tianyu and Wang, Kexiang and Chang, Baobao and Sui, Zhifang}, 88 | booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing}, 89 | pages={1790--1795}, 90 | year={2017} 91 | } 92 | 93 | @article{qin2018dsgan, 94 | title={DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction}, 95 | author={Qin, Pengda and Xu, Weiran and Wang, William Yang}, 96 | journal={arXiv preprint arXiv:1805.09929}, 97 | year={2018} 98 | } 99 | 100 | @inproceedings{feng2018reinforcement, 101 | title={Reinforcement Learning for Relation Classification from Noisy Data}, 102 | author={Feng, Jun and Huang, Minlie and Zhao, Li and Yang, Yang and Zhu, Xiaoyan}, 103 | booktitle={Proceedings of AAAI}, 104 | year={2018} 105 | } 106 | 107 | @article{qin2018robust, 108 | title={Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning}, 109 | author={Qin, Pengda and Xu, Weiran and Wang, William Yang}, 110 | journal={arXiv preprint arXiv:1805.09927}, 111 | year={2018} 112 | } 113 | 114 | @inproceedings{hendrickx2009semeval, 115 | title={Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals}, 116 | 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}, 117 | booktitle={Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions}, 118 | pages={94--99}, 119 | year={2009}, 120 | organization={Association for Computational Linguistics} 121 | } 122 | 123 | @inproceedings{mikolov2013distributed, 124 | title={Distributed representations of words and phrases and their compositionality}, 125 | author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff}, 126 | booktitle={Advances in neural information processing systems}, 127 | pages={3111--3119}, 128 | year={2013} 129 | } 130 | 131 | @inproceedings{pennington2014glove, 132 | title={Glove: Global vectors for word representation}, 133 | author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher}, 134 | booktitle={Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)}, 135 | pages={1532--1543}, 136 | year={2014} 137 | } 138 | 139 | @inproceedings{liu2013convolution, 140 | title={Convolution neural network for relation extraction}, 141 | author={Liu, ChunYang and Sun, WenBo and Chao, WenHan and Che, Wanxiang}, 142 | booktitle={International Conference on Advanced Data Mining and Applications}, 143 | pages={231--242}, 144 | year={2013}, 145 | organization={Springer} 146 | } 147 | 148 | @inproceedings{nguyen2015relation, 149 | title={Relation extraction: Perspective from convolutional neural networks}, 150 | author={Nguyen, Thien Huu and Grishman, Ralph}, 151 | booktitle={Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing}, 152 | pages={39--48}, 153 | year={2015} 154 | } 155 | 156 | @inproceedings{jiang2016relation, 157 | title={Relation extraction with multi-instance multi-label convolutional neural networks}, 158 | author={Jiang, Xiaotian and Wang, Quan and Li, Peng and Wang, Bin}, 159 | booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers}, 160 | pages={1471--1480}, 161 | year={2016} 162 | } 163 | 164 | @article{kumar2017survey, 165 | title={A Survey of Deep Learning Methods for Relation Extraction}, 166 | author={Kumar, Shantanu}, 167 | journal={arXiv preprint arXiv:1705.03645}, 168 | year={2017} 169 | } 170 | 171 | @article{pawar2017relation, 172 | title={Relation Extraction: A Survey}, 173 | author={Pawar, Sachin and Palshikar, Girish K and Bhattacharyya, Pushpak}, 174 | journal={arXiv preprint arXiv:1712.05191}, 175 | year={2017} 176 | } 177 | 178 | @inproceedings{wu2017adversarial, 179 | title={Adversarial training for relation extraction}, 180 | author={Wu, Yi and Bamman, David and Russell, Stuart}, 181 | booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing}, 182 | pages={1778--1783}, 183 | year={2017} 184 | } 185 | 186 | @inproceedings{liu2017soft, 187 | title={A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction}, 188 | author={Liu, Tianyu and Wang, Kexiang and Chang, Baobao and Sui, Zhifang}, 189 | booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing}, 190 | pages={1790--1795}, 191 | year={2017} 192 | } 193 | 194 | @article{qin2018dsgan, 195 | title={DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction}, 196 | author={Qin, Pengda and Xu, Weiran and Wang, William Yang}, 197 | journal={arXiv preprint arXiv:1805.09929}, 198 | year={2018} 199 | } 200 | 201 | @inproceedings{feng2018reinforcement, 202 | title={Reinforcement Learning for Relation Classification from Noisy Data}, 203 | author={Feng, Jun and Huang, Minlie and Zhao, Li and Yang, Yang and Zhu, Xiaoyan}, 204 | booktitle={Proceedings of AAAI}, 205 | year={2018} 206 | } 207 | 208 | @article{qin2018robust, 209 | title={Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning}, 210 | author={Qin, Pengda and Xu, Weiran and Wang, William Yang}, 211 | journal={arXiv preprint arXiv:1805.09927}, 212 | year={2018} 213 | } 214 | 215 | @article{miwa2016end, 216 | title={End-to-end relation extraction using lstms on sequences and tree structures}, 217 | author={Miwa, Makoto and Bansal, Mohit}, 218 | journal={arXiv preprint arXiv:1601.00770}, 219 | year={2016} 220 | } 221 | 222 | @inproceedings{christopoulou2018walk, 223 | title={A Walk-based Model on Entity Graphs for Relation Extraction}, 224 | author={Christopoulou, Fenia and Miwa, Makoto and Ananiadou, Sophia}, 225 | booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, 226 | volume={2}, 227 | pages={81--88}, 228 | year={2018} 229 | } 230 | 231 | @article{han2018neural, 232 | title={Neural Knowledge Acquisition via Mutual Attention between Knowledge Graph and Text}, 233 | author={Han, Xu and Liu, Zhiyuan and Sun, Maosong}, 234 | year={2018} 235 | } 236 | 237 | @inproceedings{han2018hierarchical, 238 | title={Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention}, 239 | author={Han, Xu and Yu, Pengfei and Liu, Zhiyuan and Sun, Maosong and Li, Peng}, 240 | booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing}, 241 | pages={2236--2245}, 242 | year={2018} 243 | } 244 | 245 | @article{han2018fewrel, 246 | title={FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation}, 247 | author={Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong}, 248 | journal={arXiv preprint arXiv:1810.10147}, 249 | year={2018} 250 | } 251 | 252 | @article{zeng2016incorporating, 253 | title={Incorporating relation paths in neural relation extraction}, 254 | author={Zeng, Wenyuan and Lin, Yankai and Liu, Zhiyuan and Sun, Maosong}, 255 | journal={arXiv preprint arXiv:1609.07479}, 256 | year={2016} 257 | } 258 | 259 | @InProceedings{reside2018, 260 | author = "Vashishth, Shikhar 261 | and Joshi, Rishabh 262 | and Prayaga, Sai Suman 263 | and Bhattacharyya, Chiranjib 264 | and Talukdar, Partha", 265 | title = "{RESIDE}: Improving Distantly-Supervised Neural Relation Extraction using Side Information", 266 | booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing", 267 | year = "2018", 268 | publisher = "Association for Computational Linguistics", 269 | pages = "1257--1266", 270 | location = "Brussels, Belgium", 271 | url = "http://aclweb.org/anthology/D18-1157" 272 | } 273 | --------------------------------------------------------------------------------