3 papers
cs.CL2025
Self-Refinement Strategies for LLM-based Product Attribute Value Extraction
Alexander Brinkmann, Christian Bizer
Structured product data, in the form of attribute-value pairs, is essential for e-commerce platforms to support features such as faceted product search and attribute-based product…
cs.CL2024
Using LLMs for the Extraction and Normalization of Product Attribute Values
Alexander Brinkmann, Nick Baumann, Christian Bizer
Product offers on e-commerce websites often consist of a product title and a textual product description. In order to enable features such as faceted product search or to generate…
cs.CL2023
ExtractGPT: Exploring the Potential of Large Language Models for Product Attribute Value Extraction
Alexander Brinkmann, Roee Shraga, Christian Bizer
E-commerce platforms require structured product data in the form of attribute-value pairs to offer features such as faceted product search or attribute-based product comparison. Ho…