Kewei Tu
Kewei Tu
School of Information Science and Technology, ShanghaiTech University, China
Verified email at - Homepage
Cited by
Cited by
Joint video and text parsing for understanding events and answering queries
K Tu, M Meng, MW Lee, TE Choe, SC Zhu
IEEE MultiMedia 21 (2), 42-70, 2014
Automated concatenation of embeddings for structured prediction
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
ACL-IJCNLP 2021, 2020
Structured attentions for visual question answering
C Zhu, Y Zhao, S Huang, K Tu, Y Ma
International Conference on Computer Vision (ICCV), 2017
Improving named entity recognition by external context retrieving and cooperative learning
X Wang, Y Jiang, N Bach, T Wang, Z Huang, F Huang, K Tu
arXiv preprint arXiv:2105.03654, 2021
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
X Wang, J Huang, K Tu
ACL 2019, 2019
Unsupervised Neural Dependency Parsing
Y Jiang, W Han, K Tu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2016 …, 2016
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
B Pang, E Nijkamp, L Zhou, W Han, Y Liu, K Tu
ACL, 2020
Towards imaging large-scale ontologies for quick understanding and analysis
KW Tu, M Xiong, L Zhang, HP Zhu, J Zhang, Y Yu
The Semantic Web–ISWC 2005: 4th International Semantic Web Conference, ISWC …, 2005
CMC: Combining multiple schema-matching strategies based on credibility prediction
KW Tu, Y Yu
Database Systems for Advanced Applications: 10th International Conference …, 2005
Unsupervised structure learning of stochastic and-or grammars
K Tu, M Pavlovskaia, SC Zhu
Advances in neural information processing systems 26, 2013
Unambiguity regularization for unsupervised learning of probabilistic grammars
K Tu, V Honavar
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Semi-supervised structured prediction with neural CRF autoencoder
X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser
Association for Computational Linguistics (ACL), 2017
CRF Autoencoder for Unsupervised Dependency Parsing
J Cai, Y Jiang, K Tu
EMNLP 2017, 2017
Adversarial attack and defense of structured prediction models
W Han, L Zhang, Y Jiang, K Tu
arXiv preprint arXiv:2010.01610, 2020
Second-order neural dependency parsing with message passing and end-to-end training
X Wang, K Tu
arXiv preprint arXiv:2010.05003, 2020
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
X Wang, Y Jiang, N Bach, T Wang, F Huang, K Tu
ACL, 2020
On the utility of curricula in unsupervised learning of probabilistic grammars
K Tu, V Honavar
Twenty-second international joint conference on artificial intelligence, 2011
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
X Wang, Y Shen, J Cai, T Wang, X Wang, P Xie, F Huang, W Lu, ...
SemEval 2022, 2022
Learning Bayesian network structures under incremental construction curricula
Y Zhao, Y Chen, K Tu, J Tian
Neurocomputing 258, 30-40, 2017
Maximum A Posteriori Inference in Sum-Product Networks
J Mei, Y Jiang, K Tu
AAAI 2018, 2017
The system can't perform the operation now. Try again later.
Articles 1–20