| Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers B Wang, R Shin, X Liu, O Polozov, M Richardson ACL 2020, 2019 | 153 | 2019 |
| A neural transition-based model for nested mention recognition B Wang, W Lu, Y Wang, H Jin EMNLP 2018, 2018 | 68 | 2018 |
| Neural segmental hypergraphs for overlapping mention recognition B Wang, W Lu EMNLP 2018, 2018 | 68 | 2018 |
| Learning latent opinions for aspect-level sentiment classification B Wang, W Lu AAAI 2018, 2018 | 68 | 2018 |
| GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing T Yu, CS Wu, XV Lin, B Wang, YC Tan, X Yang, D Radev, R Socher, ... ICLR 2021, 2020 | 51* | 2020 |
| Learning semantic parsers from denotations with latent structured alignments and abstract programs B Wang, I Titov, M Lapata EMNLP 2019, 2019 | 21 | 2019 |
| Meta-Learning for Domain Generalization in Semantic Parsing B Wang, M Lapata, I Titov NAACL 2021, 2020 | 15 | 2020 |
| Meta-Learning to Compositionally Generalize H Conklin, B Wang, K Smith, I Titov ACL 2021, 2021 | 14 | 2021 |
| Learning to Synthesize Data for Semantic Parsing B Wang, W Yin, XV Lin, C Xiong NAACL 2021, 2021 | 11 | 2021 |
| Combining spans into entities: A neural two-stage approach for recognizing discontiguous entities B Wang, W Lu EMNLP 2019, 2019 | 11 | 2019 |
| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 8 | 2022 |
| Structured Reordering for Modeling Latent Alignments in Sequence Transduction B Wang, M Lapata, I Titov NeurIPS 2021, 2021 | 3* | 2021 |
| Learning from Executions for Semantic Parsing B Wang, M Lapata, I Titov NAACL 2021, 2021 | 3 | 2021 |
| Supplementary Paper for Neural Segmental Hypergraphs for Overlapping Mention Recognition B Wang, W Lu | | |
Wei LuSingapore University of Technology and DesignE-mail confirmado em sutd.edu.sg
