SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
📰 ArXiv cs.AI
Learn how SemanticAgent, a semantics-aware framework, improves text-to-SQL data synthesis by ensuring semantic validity beyond syntactic checks and execution-based validation
Action Steps
- Analyze text inputs using the analyzer module to identify semantic intent
- Synthesize SQL queries using the synthesizer module based on the analyzed intent
- Verify generated queries using the verifier module to ensure semantic validity
- Integrate SemanticAgent into existing text-to-SQL pipelines to improve overall synthesis quality
- Evaluate the performance of SemanticAgent using metrics such as semantic accuracy and query executability
Who Needs to Know This
Data scientists and database engineers can benefit from this framework to generate semantically valid SQL queries from text, improving data synthesis and reducing errors
Key Insight
💡 SemanticAgent's three-stage pipeline ensures semantic validity by analyzing text intent, synthesizing SQL queries, and verifying generated queries
Share This
🚀 Improve text-to-SQL synthesis with SemanticAgent, a semantics-aware framework that ensures semantic validity beyond syntactic checks! #text2sql #semantics
Key Takeaways
Learn how SemanticAgent, a semantics-aware framework, improves text-to-SQL data synthesis by ensuring semantic validity beyond syntactic checks and execution-based validation
Full Article
Title: SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
Abstract:
arXiv:2604.21414v1 Announce Type: new Abstract: Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework. SemanticAgent organizes synthesis around three specialized modules: an analyzer, a synthesizer, and a verifier. Through a three-stage p
Abstract:
arXiv:2604.21414v1 Announce Type: new Abstract: Existing text-to-SQL synthesis pipelines still conflate executability with semantic validity: syntactic checks and execution-based validation can retain queries that execute successfully while violating database semantics. To address these limitations, we propose SemanticAgent, a semantic-aware synthesis framework. SemanticAgent organizes synthesis around three specialized modules: an analyzer, a synthesizer, and a verifier. Through a three-stage p
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