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Yankai Lin
Yankai Lin
Assistant Professor, Gaoling School of AI, Renmin University of China
Verified email at ruc.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
33482015
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
10642016
Modeling relation paths for representation learning of knowledge bases
Y Lin, Z Liu, M Sun
Proceedings of EMNLP, 2015
6562015
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
5732020
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
3322016
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
3222018
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
3132019
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
1692018
Coreferential Reasoning Learning for Language Representation
D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu
EMNLP 2020, 2020
1272020
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
1172017
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
1142020
Graph neural networks with generated parameters for relation extraction
H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun
ACL, 2019
1112019
Knowledge Representation Learning with Entities, Attributes and Relations
Y Lin, Z Liu, M Sun
Proceeding of IJCAI 1, 41.52, 2016
942016
Numnet: Machine reading comprehension with numerical reasoning
Q Ran, Y Lin, P Li, J Zhou, Z Liu
EMNLP, 2019
932019
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
922020
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
902020
Incorporating relation paths in neural relation extraction
W Zeng, Y Lin, Z Liu, M Sun
EMNLP, 2016
872016
Knowledge representation learning: a review
Z Liu, M Sun, Y Lin, R Xie
Journal of Computer Research and Development 53 (2), 247-261, 2016
802016
XQA: A cross-lingual open-domain question answering dataset
J Liu, Y Lin, Z Liu, M Sun
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
732019
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
672020
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