AI-PAVE-Br: LLM-based product attribute extraction system and Portuguese benchmark dataset for Brazilian e-commerce
Researchers introduce AI-PAVE-Br, an LLM-based system for Product Attribute Value Extraction (PAVE) tailored to Brazilian e-commerce catalogs in Portuguese. The paper also releases the Golden Set, a manually annotated benchmark dataset for PAVE in Portuguese, structured with entity, category, and subcategory annotations. Experiments show AI-PAVE-Br with prompt engineering substantially outperforms conventional NER baselines. The work addresses a gap in non-English NLP resources for structured e-commerce data extraction.
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