SQL-to-Text
4 papers with code • 1 benchmarks • 1 datasets
( Image credit: SQL-to-Text Generation with Graph-to-Sequence Model )
Benchmarks
These leaderboards are used to track progress in SQL-to-Text
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WikiSQL
Latest papers
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
We first design a SQL-to-text model conditioned on a sampled goal query, which represents a user's intent, that then converses with a text-to-SQL semantic parser to generate new interactions.
SQL-to-Text Generation with Graph-to-Sequence Model
IBM/SQL-to-Text
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EMNLP 2018
Previous work approaches the SQL-to-text generation task using vanilla Seq2Seq models, which may not fully capture the inherent graph-structured information in SQL query.
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Our method first generates the node and graph embeddings using an improved graph-based neural network with a novel aggregation strategy to incorporate edge direction information in the node embeddings.
Gated Graph Sequence Neural Networks
dmlc/dgl
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Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases.
