Text To Sql Papers

• Content Enhanced BERT-based Text-to-SQL Generation
• RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases
• SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
• Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
• TABERT: Pretraining for Joint Understanding of Textual and Tabular Data
• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
• Improving Text-to-SQL Evaluation Methodology
• Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
• RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
• SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
• TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
• A Pilot Study for Chinese SQL Semantic Parsing
• Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
• Text-to-SQL Generation for Question Answering on Electronic Medical Records
• Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
• ValueNet: A Neural TexttoSQL Architecture Incorporating Values
• Using Database Rule for Weak Supervised Text-to-SQL Generation
• Byte-Pair Encoding for Text-to-SQL Generation
• CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
• SParC: Cross-Domain Semantic Parsing in Context
• TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation
• Zero-shot Text-to-SQL Learning with Auxiliary Task