Attribute Value Extraction using Large Language Models

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Web Data Commons - Using LLMs for Product Attribute Value Extraction and Normalization

This repository contains code and comprehensive examples to replicate and build upon the experiments presented in our paper “Fine-tuning Large Language Models for Entity Matching” The repository pr…

This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann a…

SC-Block is a supervised contrastive blocking method which combines supervised contrastive learning for positioning records in an embedding space and nearest neighbour search for candidate set buil…

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and resu…

State-of-the-Art Text Embeddings

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and resu…

This repository contains code and data download scripts for the paper "Intermediate Training of BERT for Product Matching" by Ralph Peeters, Christian Bizer and Goran Glavaš.

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