6 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding
Jun Wang, Patrick Ng, Alexander Hanbo Li +5
Most recent research on Text-to-SQL semantic parsing relies on either parser itself or simple heuristic based approach to understand natural language query (NLQ). When synthesizing…
cs.CL2020★ 6 cited
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Peng Shi, Patrick Ng, Zhiguo Wang +5
Most recently, there has been significant interest in learning contextual representations for various NLP tasks, by leveraging large scale text corpora to train large neural langua…
cs.CL2020★ 5 cited
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
Jin Cao, Jun Wang, Wael Hamza +2
Neural models have yielded state-of-the-art results in deciphering spoken language understanding (SLU) problems; however, these models require a significant amount of domain-specif…