| Annotating the little prince with Chinese AMRs B Li, Y Wen, W Qu, L Bu, N Xue Proceedings of the 10th Linguistic Annotation Workshop held in conjunction …, 2016 | 76 | 2016 |
| A novel reasoning mechanism for multi-label text classification R Wang, R Ridley, W Qu, X Dai Information Processing & Management 58 (2), 102441, 2021 | 67 | 2021 |
| Chinese named entity recognition via joint identification and categorization J Zhou, W Qu, F Zhang Chinese journal of electronics 22 (2), 225-230, 2013 | 64 | 2013 |
| AMR parsing with an incremental joint model J Zhou, F Xu, H Uszkoreit, W Qu, R Li, Y Gu Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 59 | 2016 |
| A semi-supervised key phrase extraction approach: learning from title phrases through a document semantic network D Li, S Li, W Li, W Wang, W Qu Proceedings of the ACL 2010 conference short papers, 296-300, 2010 | 50 | 2010 |
| Semantic change computation: A successive approach X Tang, W Qu, X Chen World Wide Web 19, 375-415, 2016 | 46 | 2016 |
| An enhanced short text categorization model with deep abundant representation Y Gu, M Gu, Y Long, G Xu, Z Yang, J Zhou, W Qu World Wide Web 21, 1705-1719, 2018 | 20 | 2018 |
| Building a Chinese AMR bank with concept and relation alignments B Li, Y Wen, L Song, W Qu, N Xue Linguistic Issues in Language Technology 18, 2019 | 17 | 2019 |
| Automated essay scoring via pairwise contrastive regression J Xie, K Cai, L Kong, J Zhou, W Qu Proceedings of the 29th International Conference on Computational …, 2022 | 16 | 2022 |
| Event detection as graph parsing J Xie, H Sun, J Zhou, W Qu, X Dai Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 15 | 2021 |
| From text to graph: a general transition-based AMR parsing using neural network M Gu, Y Gu, W Luo, G Xu, Z Yang, J Zhou, W Qu Neural Computing and Applications 33, 6009-6025, 2021 | 14 | 2021 |
| Segment-level chinese named entity recognition based on neural network L Wang, Y Xie, J Zhou, Y Gu, W Qu Journal of Chinese Information Processing 32 (3), 84-90, 2018 | 14 | 2018 |
| Exploiting chunk-level features to improve phrase chunking J Zhou, W Qu, F Zhang Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 14 | 2012 |
| Word sense disambiguation by semantic inference X Wang, X Tang, W Qu, M Gu 2017 international conference on behavioral, economic, socio-cultural …, 2017 | 13 | 2017 |
| Polyphonic word disambiguation with machine learning approaches J Liu, W Qu, X Tang, Y Zhang, Y Sun 2010 Fourth International Conference on Genetic and Evolutionary Computing …, 2010 | 12 | 2010 |
| A collocation-based wsd model: RFR-SUM W Qu, Z Sui, G Ji, S Yu, J Zhou New Trends in Applied Artificial Intelligence: 20th International Conference …, 2007 | 12 | 2007 |
| An element-aware multi-representation model for law article prediction H Zhong, J Zhou, W Qu, Y Long, Y Gu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 11 | 2020 |
| Semi-supervised wsd in selectional preferences with semantic redundancy X Tang, X Chen, W Qu, S Yu Coling 2010: Posters, 1238-1246, 2010 | 11 | 2010 |
| Quality Assurance of Automatic Annotation of Very Large Corpora: a Study based on heterogeneous Tagging System. CR Huang, LH Lee, JF Hong, W Qu, S Yu LREC 2008, 2725-2729, 2008 | 11 | 2008 |
| A frame-based approach to Chinese collocation automatic extracting W Qu, X Chen, G Ji Computer Engineering 30 (23), 22-24-195, 2004 | 11 | 2004 |
