AI-PAVE-Br applies LLMs with prompt engineering to outperform NER baselines on Portuguese product attribute extraction and releases the Golden Set as a new benchmark dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach
AI-PAVE-Br applies LLMs with prompt engineering to outperform NER baselines on Portuguese product attribute extraction and releases the Golden Set as a new benchmark dataset.