Liyuan Liu
Titel
Zitiert von
Zitiert von
Jahr
On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
Proceedings of the Eighth International Conference on Learning …, 2019
6612019
Empower sequence labeling with task-aware neural language model
L Liu, J Shang, F Xu, X Ren, H Gui, J Peng, J Han
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
2582018
Learning named entity tagger using domain-specific dictionary
J Shang*, L Liu*, X Ren, X Gu, T Ren, J Han
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
1132018
Triovecevent: Embedding-based online local event detection in geo-tagged tweet streams
C Zhang, L Liu, D Lei, Q Yuan, H Zhuang, T Hanratty, J Han
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
1092017
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
L Liu*, X Ren*, Q Zhu, S Zhi, H Gui, H Ji, J Han
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
682017
Community detection based on structure and content: A content propagation perspective
L Liu, L Xu, Z Wangy, E Chen
Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM …, 2015
612015
Understanding the difficulty of training transformers
L Liu, X Liu, J Gao, W Chen, J Han
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
422020
Cross-relation cross-bag attention for distantly-supervised relation extraction
Y Yuan, L Liu, S Tang, Z Zhang, Y Zhuang, S Pu, F Wu, X Ren
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
312019
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
L Liu, X Ren, J Shang, J Peng, J Han
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
302018
Crossweigh: Training named entity tagger from imperfect annotations
Z Wang*, J Shang*, L Liu*, L Lu, J Liu, J Han
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
232019
Very deep transformers for neural machine translation
X Liu, K Duh, L Liu, J Gao
arXiv preprint arXiv:2008.07772, 2020
192020
Nettaxo: Automated topic taxonomy construction from text-rich network
J Shang, X Zhang, L Liu, S Li, J Han
Proceedings of The Web Conference 2020, 1908-1919, 2020
192020
On the variance of the adaptive learning rate and beyond. arXiv 2019
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
192019
Reliability-aware dynamic feature composition for name tagging
Y Lin, L Liu, H Ji, D Yu, J Han
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
162019
Graph clustering with embedding propagation
C Yang, L Liu, M Liu, Z Wang, C Zhang, J Han
2020 IEEE International Conference on Big Data (Big Data), 858-867, 2020
13*2020
Learning to contextually aggregate multi-source supervision for sequence labeling
O Lan, X Huang, BY Lin, H Jiang, L Liu, X Ren
arXiv preprint arXiv:1910.04289, 2019
112019
Looking beyond label noise: Shifted label distribution matters in distantly supervised relation extraction
Q Ye*, L Liu*, M Zhang, X Ren
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
112019
Expert finding in heterogeneous bibliographic networks with locally-trained embeddings
H Gui, Q Zhu, L Liu, A Zhang, J Han
arXiv preprint arXiv:1803.03370, 2018
92018
Facet-aware evaluation for extractive summarization
Y Mao, L Liu, Q Zhu, X Ren, J Han
arXiv preprint arXiv:1908.10383, 2019
8*2019
Arabic named entity recognition: what works and what’s next
L Liu, J Shang, J Han
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 60-67, 2019
82019
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