15 citations · 26 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Product Information Extraction using ChatGPT
Alexander Brinkmann, Roee Shraga, Reng Chiz Der +1
Structured product data in the form of attribute/value pairs is the foundation of many e-commerce applications such as faceted product search, product comparison, and product recom…
SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines
Alexander Brinkmann, Roee Shraga, Christian Bizer
The goal of entity resolution is to identify records in multiple datasets that represent the same real-world entity. However, comparing all records across datasets can be computati…