Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

@inproceedings{Bogin2019RepresentingSS,
  title={Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing},
  author={Ben Bogin and Matthew Gardner and Jonathan Berant},
  booktitle={ACL},
  year={2019}
}
Research on parsing language to SQL has largely ignored the structure of the database (DB) schema, either because the DB was very simple, or because it was observed at both training and test time. In Spider, a recently-released text-to-SQL dataset, new and complex DBs are given at test time, and so the structure of the DB schema can inform the predicted SQL query. In this paper, we present an encoder-decoder semantic parser, where the structure of the DB schema is encoded with a graph neural… CONTINUE READING
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