SQL-to-Text
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Benchmarks
WikiSQL
Most implemented
Gated Graph Sequence Neural Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
SQL-to-Text Generation with Graph-to-Sequence Model
Papers
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
The SQL-to-text generation task traditionally uses template base, Seq2Seq, tree-to-sequence, and graph-to-sequence models. Recent models take advantage of pre-trained generative language models for this task in the Seq2S…
Graph-to-SequenceLanguage ModelingLanguage ModellingSQL-to-Text+3Importance of Synthesizing High-quality Data for Text-to-SQL Parsing
Recently, there has been increasing interest in synthesizing data to improve downstream text-to-SQL tasks. In this paper, we first examined the existing synthesized datasets and discovered that state-of-the-art text-to-S…
SQL ParsingSQL-to-TextText to SQLText-To-SQL+1Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers
Text-to-SQL parsers typically struggle with databases unseen during the train time. Adapting parsers to new databases is a challenging problem due to the lack of natural language queries in the new schemas. We present Re…
Data AugmentationNatural Language QueriesSQL-to-TextText Generation+2Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
The task of context-dependent text-to-SQL aims to convert multi-turn user utterances to formal SQL queries. This is a challenging task due to both the scarcity of training data from which to learn complex contextual depe…
Domain GeneralizationSQL-to-TextText to SQLText-To-SQLSQL-to-Text Generation with Graph-to-Sequence Model
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. In this paper, we first introduce a strategy to r…
Graph-to-SequenceSQL-to-TextText GenerationGraph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
The celebrated Sequence to Sequence learning (Seq2Seq) technique and its numerous variants achieve excellent performance on many tasks. However, many machine learning tasks have inputs naturally represented as graphs; ex…
DecoderGraph-to-SequenceSQL-to-TextText Generation