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COLIDE

Alumni project (May 2021 - April 2024)

Co-Training and Co-Regulierung für Industriedaten

About the project

Ziel von COLIDE ist die Entwicklung von Auto-Multi-View-Learning-Verfahren (AutoMVL) für heterogene Industriedaten. Dazu werden multi-view learning (MVL) und automatisiertes maschinelles Lernen (AutoML) erstmals kombiniert. Damit werden insbesondere KMUs in die Lage versetzt, den Mehrwert der simultanen Nutzung verschiedenster ML-Methoden auf heterogenen Datenquellen kosteneffizient zu erfahren und so innovative, datengetriebene Lösungen insbesondere in der Produktion anzubieten. Die Machbarkeit wird anhand von 2 realen, diskjunkten Anwendungsfällen aufgezeigt.
Funding program
BMBF, Grant Number 01I521005D

Publications

Contextual Augmentation for Entity Linking using Large Language Models

By Daniel Vollmers, Hamada M. Zahera, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

COLING 2025, 2025, #article

ESLM: Improving Entity Summarization by Leveraging Language Models

By Asep Fajar Firmansyah, Diego Mousallem, Axel-Cyrille Ngonga Ngomo

The Semantic Web, 2024, #inproceedings

AutoCL: AutoML for Concept Learning

By Jiayi Li, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, Axel-Cyrille Ngonga Ngomo

Explainable Artificial Intelligence, 2024, #inproceedings

IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains

By Ria Hari Gusmita, Muhammad Faruq, Diego Mousallem, Axel-Cyrille Ngonga Ngomo

NLDB, 2024, #inproceedings

Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation

By Hizkiel Mitiku Alemayehu, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, #inproceedings

Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed

By Manzoor Ali, Muhammad Sohail Nisar, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

NLDB24, 2024, #inproceedings

Enhancing Answers Verbalization using Large Language Models

By Daniel Vollmers, Parth Sharma, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

SEMANTiCS2024, 2024, #inproceedings

UniQ-Gen: Unified Query Generation across Multiple Knowledge Graphs

By Daniel Vollmers, Nikit Srivastava, Hamada M. Zahera, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

EKAW 2024, 2024, #inproceedings

Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting

By Hamada M. Zahera, Manzoor Ali, Mohamed Ahmed Sherif, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI - Proceedings of the 20th International Conference on Semantic Systems (SEMANTiCS), 17-19 September 2024, Amsterdam, The Netherlands, 2024, #inproceedings

CausalQA: A Benchmark for Causal Question Answering

By Alexander Bondarenko, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, Martin Potthast

COLING, 2022, #inproceedings

MultPAX: Keyphrase Extraction using Language Models and Knowledge Graphs

By Hamada M. Zahera, Daniel Vollmers, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo

ISWC, 2022, #inproceedings

Contextual Augmentation for Entity Linking using Large Language Models

By Daniel Vollmers, Hamada M. Zahera, Diego Moussallem, Axel-Cyrille Ngonga Ngomo

COLING 2025, 2025, #article

ESLM: Improving Entity Summarization by Leveraging Language Models

By Asep Fajar Firmansyah, Diego Mousallem, Axel-Cyrille Ngonga Ngomo

The Semantic Web, 2024, #inproceedings

AutoCL: AutoML for Concept Learning

By Jiayi Li, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, Axel-Cyrille Ngonga Ngomo

Explainable Artificial Intelligence, 2024, #inproceedings

IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains

By Ria Hari Gusmita, Muhammad Faruq, Diego Mousallem, Axel-Cyrille Ngonga Ngomo

NLDB, 2024, #inproceedings

Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation

By Hizkiel Mitiku Alemayehu, Hamada M. Zahera, Axel-Cyrille Ngonga Ngomo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, #inproceedings