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Yankai Lin
Yankai Lin
Wechat AI, Tencent
Verified email at tencent.com - 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
25422015
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
9092016
Modeling relation paths for representation learning of knowledge bases
Y Lin, Z Liu, M Sun
Proceedings of EMNLP, 2015
5272015
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
3062016
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
2512020
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
2192018
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
1792019
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
1382018
Knowledge representation learning: a review
Z Liu, M Sun, Y Lin, R Xie
Journal of Computer Research and Development 53 (2), 247, 2016
1052016
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
972017
Incorporating relation paths in neural relation extraction
W Zeng, Y Lin, Z Liu, M Sun
EMNLP, 2016
782016
Graph neural networks with generated parameters for relation extraction
H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun
ACL, 2019
752019
Knowledge Representation Learning with Entities, Attributes and Relations
Y Lin, Z Liu, M Sun
Proceeding of IJCAI 1, 41.52, 2016
742016
Coreferential Reasoning Learning for Language Representation
D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu
EMNLP 2020, 2020
682020
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
552020
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
532019
Improving Neural Fine-Grained Entity Typing with Knowledge Attention
J Xin, Y Lin, Z Liu, M Sun
Proceedings of AAAI 2018, 2018
502018
Numnet: Machine reading comprehension with numerical reasoning
Q Ran, Y Lin, P Li, J Zhou, Z Liu
EMNLP, 2019
492019
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
412020
Recent Advances on Neural Headline Generation
Ayana, S Shen, Y Lin, C Tu, Y Zhao, Z Liu, M Sun
Journal of Computer Science and Technology 32 (4), 768-784, 2017
392017
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Articles 1–20