Yankai Lin

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Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, 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
Yujia QinTsinghua 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
Lei Hou (侯磊)Tsinghua UniversityVerified email at tsinghua.edu.cn
Ning DingTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Xin CongTsinghua UniversityVerified email at tsinghua.edu.cn
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
Xu Chen 陈旭Associate Professor (pre-tenure), Renmin University of ChinaVerified email at ruc.edu.cn
Wenkai YangRenmin University of ChinaVerified email at ruc.edu.cn
Zhenghao LiuNortheastern UniversityVerified email at mail.neu.edu.cn
Wayne Xin ZhaoProfessor, Renmin University of ChinaVerified email at ruc.edu.cn
Zhewei WeiRenmin University of ChinaVerified email at ruc.edu.cn
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg
Minlie Huangcomputer science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Ganqu CuiTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jie FuShanghai AI LabVerified email at lisa.iro.umontreal.ca

Yankai Lin

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

Verified email at ruc.edu.cn - Homepage

Natural Language Processing Large Language Models


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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	4401	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	1245	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	1112	2020
Modeling relation paths for representation learning of knowledge bases Y Lin, Z Liu, M Sun Proceedings of EMNLP, 2015	784	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	571	2019
A survey on large language model based autonomous agents L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ... Frontiers of Computer Science 18 (6), 186345, 2024	554	2024
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	410	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	392	2016
Toolllm: Facilitating large language models to master 16000+ real-world apis Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ... arXiv preprint arXiv:2307.16789, 2023	317	2023
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	201	2020
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	194	2018
Coreferential Reasoning Learning for Language Representation D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu EMNLP 2020, 2020	189	2020
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	176	2020
Graph neural networks with generated parameters for relation extraction H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun ACL, 2019	169	2019
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	162	2020
Representation learning for natural language processing Z Liu, Y Lin, M Sun Springer Nature, 2023	141	2023
Packed levitated marker for entity and relation extraction D Ye, Y Lin, P Li, M Sun arXiv preprint arXiv:2109.06067, 2021	139	2021
On transferability of prompt tuning for natural language processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... arXiv preprint arXiv:2111.06719, 2021	131	2021
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	126	2017
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	125	2020

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