Papers with SQL-to-text generation task

1 papers
SQL-to-Text Generation with Graph-to-Sequence Model (D18-1)

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Challenge: Existing approaches to generate SQL-to-text using seq2seq models do not capture graph-structured information in SQL query.
Approach: They propose a graph-to-sequence model to encode global structure information into node embeddings.
Outcome: The proposed model outperforms the Seq2Seq and Tree2Sq baselines on the WikiSQL and Stackoverflow datasets.

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