| 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 | 214 | 2020 |
| 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 | 168 | 2014 |
| 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 | 158 | 2021 |
| Structured attentions for visual question answering C Zhu, Y Zhao, S Huang, K Tu, Y Ma International Conference on Computer Vision (ICCV), 2017 | 123 | 2017 |
| Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation B Pang, E Nijkamp, L Zhou, W Han, Y Liu, K Tu ACL, 2020 | 82 | 2020 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks X Wang, J Huang, K Tu ACL 2019, 2019 | 68 | 2019 |
| Unsupervised Neural Dependency Parsing Y Jiang, W Han, K Tu Conference on Empirical Methods in Natural Language Processing (EMNLP 2016 …, 2016 | 64 | 2016 |
| 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 | 54 | 2005 |
| CMC: Combining multiple schema-matching strategies based on credibility prediction KW Tu, Y Yu Database Systems for Advanced Applications: 10th International Conference …, 2005 | 51 | 2005 |
| Bottom-up constituency parsing and nested named entity recognition with pointer networks S Yang, K Tu ACL 2022, 2021 | 45 | 2021 |
| Named entity and relation extraction with multi-modal retrieval X Wang, J Cai, Y Jiang, P Xie, K Tu, W Lu arXiv preprint arXiv:2212.01612, 2022 | 43 | 2022 |
| 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 | 43 | 2022 |
| Unsupervised structure learning of stochastic and-or grammars K Tu, M Pavlovskaia, SC Zhu Advances in neural information processing systems 26, 2013 | 43 | 2013 |
| Nested named entity recognition as latent lexicalized constituency parsing C Lou, S Yang, K Tu ACL 2022, 2022 | 42 | 2022 |
| ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition X Wang, M Gui, Y Jiang, Z Jia, N Bach, T Wang, Z Huang, F Huang, K Tu NAACL 2022, 2021 | 41 | 2021 |
| Structure-Level Knowledge Distillation For Multilingual Sequence Labeling X Wang, Y Jiang, N Bach, T Wang, F Huang, K Tu ACL, 2020 | 41 | 2020 |
| Adversarial attack and defense of structured prediction models W Han, L Zhang, Y Jiang, K Tu arXiv preprint arXiv:2010.01610, 2020 | 40 | 2020 |
| CRF Autoencoder for Unsupervised Dependency Parsing J Cai, Y Jiang, K Tu EMNLP 2017, 2017 | 40 | 2017 |
| Unambiguity regularization for unsupervised learning of probabilistic grammars K Tu, V Honavar Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 38 | 2012 |
| Semi-supervised structured prediction with neural CRF autoencoder X Zhang, Y Jiang, H Peng, K Tu, D Goldwasser Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 37 | 2017 |
Yong JiangAlibaba GroupE-mail confirmado em alibaba-inc.com
