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Found 4 papers, 4 papers with code
Using LLMs for the Extraction and Normalization of Product Attribute Values
For our experiments, we introduce the WDC Product Attribute-Value Extraction (WDC PAVE) dataset.
Product Attribute Value Extraction using Large Language Models
We propose different prompt templates for instructing LLMs about the target schema of the extraction, covering both zero-shot and few-shot scenarios.
Product Information Extraction using ChatGPT
Hence, extracting attribute/value pairs from textual product descriptions is an essential enabler for e-commerce applications.
SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines
To reduce these runtimes, entity resolution pipelines are constructed of two parts: a blocker that applies a computationally cheap method to select candidate record pairs, and a matcher that afterwards identifies matching pairs from this set using more expensive methods.
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Blocking
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