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Grounded Adaptation for Zero-shot Executable Semantic Parsing
AbstractWe propose Grounded Adaptation for Zeroshot Executable Semantic Parsing (GAZP) to adapt an existing semantic parser to new environments (e.g. new database schemas). GAZP combines a forward semantic parser with …...
IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
AbstractContext-dependent text-to-SQL task has drawn much attention in recent years. Previous models on context-dependent text-to-SQL task only concentrate on utilizing historic user inputs. In this work, in addition to using …...
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate database, given all …...
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
AbstractLarge pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10,000s of sub-word tokens. When fine-tuned to target constrained …...
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation
AbstractMany machine learning-based low-code or no-code applications involve generating code that interacts with structured knowledge. For example, one of the most studied tasks in this area is generating SQL code …...