← Search

Qiuping Huang

2 accepted papers

2022

Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment

NAACL 2022findings

In text-to-SQL tasks — as in much of NLP — compositional generalization is a major challenge: neural networks struggle with compositional generalization where training and test distributions differ. However, most recent attempts to improve this are based on word-level synthetic data or specific data…

2021

Towards Robustness of Text-to-SQL Models against Synonym Substitution

ACL 2021long

Recently, there has been significant progress in studying neural networks to translate text descriptions into SQL queries. Despite achieving good performance on some public benchmarks, existing text-to-SQL models typically rely on the lexical matching between words in natural language (NL) questions…