Bailin Wang
Bailin Wang
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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
Neural segmental hypergraphs for overlapping mention recognition
B Wang, W Lu
EMNLP 2018, 2018
A neural transition-based model for nested mention recognition
B Wang, W Lu, Y Wang, H Jin
EMNLP 2018, 2018
Learning latent opinions for aspect-level sentiment classification
B Wang, W Lu
AAAI 2018, 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
Learning semantic parsers from denotations with latent structured alignments and abstract programs
B Wang, I Titov, M Lapata
EMNLP 2019, 2019
Meta-Learning for Domain Generalization in Semantic Parsing
B Wang, M Lapata, I Titov
NAACL 2021, 2020
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
Meta-Learning to Compositionally Generalize
H Conklin, B Wang, K Smith, I Titov
ACL 2021, 2021
Learning to Synthesize Data for Semantic Parsing
B Wang, W Yin, XV Lin, C Xiong
NAACL 2021, 2021
Combining spans into entities: A neural two-stage approach for recognizing discontiguous entities
B Wang, W Lu
EMNLP 2019, 2019
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
B Wang, M Lapata, I Titov
NeurIPS 2021, 2021
Learning from Executions for Semantic Parsing
B Wang, M Lapata, I Titov
NAACL 2021, 2021
Proton: Probing schema linking information from pre-trained language models for text-to-sql parsing
L Wang, B Qin, B Hui, B Li, M Yang, B Wang, B Li, J Sun, F Huang, L Si, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Generalization challenges in semantic parsing
B Wang
The University of Edinburgh, 2022
Supplementary Paper for Neural Segmental Hypergraphs for Overlapping Mention Recognition
B Wang, W Lu
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