Ralph Peeters

Orcid: 0000-0003-3174-2616

According to our database1, Ralph Peeters authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
WDC Products: A Multi-Dimensional Entity Matching Benchmark.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Entity Matching using Large Language Models.
CoRR, 2023

Using ChatGPT for Entity Matching.
Proceedings of the New Trends in Database and Information Systems, 2023

2022
Supervised Contrastive Learning for Product Matching.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Cross-Language Learning for Product Matching.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SOTAB: The WDC Schema.org Table Annotation Benchmark.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2022

2021
Dual-Objective Fine-Tuning of BERT for Entity Matching.
Proc. VLDB Endow., 2021

Cross-Language Learning for Entity Matching.
CoRR, 2021

2020
Using schema.org Annotations for Training and Maintaining Product Matchers.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

Intermediate Training of BERT for Product Matching.
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020

MWPD2020: Semantic Web Challenge on Mining the Web of HTML-embedded Product Data.
Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

2019
Using the Semantic Web as a Source of Training Data.
Datenbank-Spektrum, 2019

The WDC Training Dataset and Gold Standard for Large-Scale Product Matching.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019


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