Web: http://arxiv.org/abs/2205.02054

May 5, 2022, 1:11 a.m. | Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver

cs.CL updates on arXiv.org arxiv.org

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 dataset splits
to generate compositional biases. In this work, we propose a clause-level
compositional example generation method. We first split the sentences in the
Spider text-to-SQL dataset into sub-sentences, annotating each sub-sentence
with its corresponding SQL clause, …

arxiv sql text

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