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Name: Eduardo Valim
Type: User
Bio: Computer Engineer | ML | NLP | C++ | Python | Flutter
Twitter: eduardovalim
Location: Campo Grande, MS, Brazil
Name: Eduardo Valim
Type: User
Bio: Computer Engineer | ML | NLP | C++ | Python | Flutter
Twitter: eduardovalim
Location: Campo Grande, MS, Brazil
This repository contains the code and data for reproducing the results of the paper "Graph-boosted Active Learning for Multi-Source Entity Resolution" presented at ISWC2021.
Sistema Adaptativo de Controle de Temperatura
This repository contains the code to reproduce the experiments of the poster "Supervised Contrastive Learning for Product Matching"
Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"
Code for the paper "Deep Entity Matching with Pre-trained Language Models"
the implementation of "Entity Resolution via Hierarchical Graph Attention Network"
This repository contains the code and data download links to reproduce the experiments of the PVLDB paper "Dual-Objective Fine-Tuning of BERT for Entity Matching" by Ralph Peeters and Christian Bizer.
LExical-aware Attention module: a new extension of the transformers to learn information derived from lexical similarities in order to be robust to textual noise
This repository contains code and extensive prompt examples to reproduce and extend the experiments in our papers "Using ChatGPT for Entity Matching" and "Entity Matching using Large Language Models".
Repository with the code and data to reproduce the experiments presented in the paper “Analysis and Performance Evaluation of Machine Learning Techniques for Product Matching”.
multilingual transformers for product matching task and ProductMatch.pl dataset
The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020
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.
The Pytorch implementation of RAEA model, corresponding to the World Wide Wed 2023 paper "Cross-platform Product Matching based on Entity Alignment of Knowledge Graph with RAEA model", which achieves competive performance on entity alignment in DBP15k and DBP100k datasets.
This repository contains code and data download scripts for the paper "Using schema.org annotations for training and maintaining product matchers" by Ralph Peeters, Anna Primpeli, Benedikt Wichtlhuber and Christian Bizer.
This repository contains the code and data download links to reproduce building the WDC Products Benchmark.
Robust Speech Recognition via Large-Scale Weak Supervision
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