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A Hitchhiker’s Guide to Ontology

Date
Aug 27, 2024
Time
10:00 AM - 11:30 AM
Speaker
Prof. Dr. Fabian M. Suchanek
Affiliation
Télécom Paris University/ Institut Polytechnique de Paris
Language
en
Main Topic
Informatik
Host
ScaDS.AI Dresden/Leipzig
Description
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)
Links

Last modified: Jun 24, 2024, 7:02:01 AM

Location

TUD Andreas-Pfitzmann-Bau (Computer Science) (APB-1004 (Ratsaal))Nöthnitzer Straße4601069Dresden
Homepage
https://navigator.tu-dresden.de/etplan/apb/00

Organizer

Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Chemnitzer Straße46b, 2. OG01187Dresden
Phone
+49 351 463-40900
E-Mail
ScaDS.AI
Homepage
https://scads.ai
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