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PolyglotQL provides an extensible and modular architecture that aggregates, normalizes, and augments heterogeneous question–SPARQL pairs from established text-to-SPARQL datasets, highlighting the benefits of structured context in multilingual semantic parsing.
This work developed a modular retrieval-augmented generation (RAG) pipeline and conducted a series of ablation experiments over its individual components to identify the best-performing strategy at each stage, demonstrating that isolated curation of RAG components can yield strong performance for Ukrainian document gro...
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