Yankai Lin

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Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Peng LIInstitute for AI Industry Research (AIR), Tsinghua UniversityVerified email at air.tsinghua.edu.cn
Xu HanTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xu SunAssociate Professor, Peking UniversityVerified email at pku.edu.cn
Juanzi LiTsinghua UniversityVerified email at tsinghua.edu.cn
Yujia QinTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Lei Hou (侯磊)Tsinghua UniversityVerified email at tsinghua.edu.cn
Zhenghao LiuNortheastern UniversityVerified email at cse.neu.edu.cn
Ning DingTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Wenkai YangRenmin University of ChinaVerified email at ruc.edu.cn
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
Wayne Xin ZhaoProfessor, Renmin University of ChinaVerified email at ruc.edu.cn
Minlie HuangTsinghua UniversityVerified email at tsinghua.edu.cn
Xin CongTsinghua UniversityVerified email at tsinghua.edu.cn
Xu Chen 陈旭Associate Professor (pre-tenure), Renmin University of ChinaVerified email at ruc.edu.cn
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg
Jie FuHong Kong University of Science and Technology (HKUST)Verified email at lisa.iro.umontreal.ca
Heng JiProfessor of CS UIUC, Amazon Scholar, Founding Director of Amazon-Illinois AICE CenterVerified email at illinois.edu
Yixin CaoSingapore Management UniversityVerified email at smu.edu.sg

Yankai Lin

Assistant Professor, Gaoling School of AI, Renmin University of China

Verified email at ruc.edu.cn - Homepage

Natural Language Processing


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Learning Entity and Relation Embeddings for Knowledge Graph Completion L Yankai, L Zhiyuan, S Maosong, L Yang, Z Xuan The 29th AAAI Conference on Artificial Intelligence, 2015	3804	2015
Neural relation extraction with selective attention over instances Y Lin, S Shen, Z Liu, H Luan, M Sun Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	1151	2016
Measuring and relieving the over-smoothing problem for graph neural networks from the topological view D Chen, Y Lin, W Li, P Li, J Zhou, X Sun Proceedings of the AAAI conference on artificial intelligence 34 (04), 3438-3445, 2020	798	2020
Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, M Sun Proceedings of EMNLP, 2015	715	2015
DocRED: A large-scale document-level relation extraction dataset Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun ACL 2019, 2019	408	2019
OpenKE: An open toolkit for knowledge embedding X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018	360	2018
Neural sentiment classification with user and product attention H Chen, M Sun, C Tu, Y Lin, Z Liu Proceedings of the 2016 conference on empirical methods in natural language …, 2016	354	2016
Denoising distantly supervised open-domain question answering Y Lin, H Ji, Z Liu, M Sun Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	180	2018
Coreferential Reasoning Learning for Language Representation D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu EMNLP 2020, 2020	156	2020
Learning from Context or Names? An Empirical Study on Neural Relation Extraction H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou EMNLP 2020, 2020	150	2020
Graph neural networks with generated parameters for relation extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019	132	2019
MAVEN: A Massive General Domain Event Detection Dataset X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou EMNLP 2020, 2020	127	2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou AACL 2020, 2020	123	2020
Neural relation extraction with multi-lingual attention Y Lin, Z Liu, M Sun Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017	123	2017
Knowledge Representation Learning with Entities, Attributes and Relations Y Lin, Z Liu, M Sun Proceeding of IJCAI 1, 41.52, 2016	106	2016
Numnet: Machine reading comprehension with numerical reasoning Q Ran, Y Lin, P Li, J Zhou, Z Liu EMNLP, 2019	104	2019
Representation learning for natural language processing Z Liu, Y Lin, M Sun Springer Nature, 2023	95	2023
Incorporating relation paths in neural relation extraction W Zeng, Y Lin, Z Liu, M Sun EMNLP, 2016	93	2016
ERICA: improving entity and relation understanding for pre-trained language models via contrastive learning Y Qin, Y Lin, R Takanobu, Z Liu, P Li, H Ji, M Huang, M Sun, J Zhou arXiv preprint arXiv:2012.15022, 2020	91	2020
Knowledge representation learning: a review Z Liu, M Sun, Y Lin, R Xie Journal of Computer Research and Development 53 (2), 247-261, 2016	90	2016

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