A Hitchhiker’s Guide to Ontology

Datum

27.08.2024

Zeit

10:00 - 11:30

Sprecher

Prof. Dr. Fabian M. Suchanek

Zugehörigkeit

Télécom Paris University/ Institut Polytechnique de Paris

Sprache

en

Hauptthema

Informatik

Host

ScaDS.AI Dresden/Leipzig

Beschreibung

Language Models have brought major breakthroughs in natural language processing. Notwithstanding this success, I will show that certain applications still need symbolic representations. I will then show how different methods (language models and others) can be harnessed to build such symbolic representations. I will also introduce our main project in this direction, the YAGO knowledge base. I will then talk about the incompleteness of knowledge bases. We have developed several techniques to estimate how much data is missing in a knowledge base, as well as rule mining methods to derive that data. I will then present our work on efficient querying of knowledge bases. Finally, I will talk about applications of knowledge bases in the domain of speech analysis and the digital humanities, as well as about our methods for explainable AI. Contact: Prof. Dr. Simon Razniewski (simon.razniewski@tu-dresden.de)

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Letztmalig verändert: 24.06.2024, 07:02:01