Accepted Papers

Semantic Web Technologies for Explainable Machine Learning Models: A Literature Review (slides)
Arne Seeliger, Matthias Pfaff and Helmut Krcmar.

Persuasive Explanation of Reasoning Inferences on Dietary Data (slides)
Ivan Donadello, Mauro Dragoni and Claudio Eccher.

Towards Explaining Natural Language Arguments with Background Knowledge (slides)
Ioana Hulpus, Jonathan Kobbe, Maria Becker, Juri Opitz, Graeme Hirst, Christian Meilicke, Vivi Nastase, Heiner Stuckenschmidt, and Anette Frank

Interactive Causal Discovery in Knowledge Graphs (slides)
Melanie Munch, Juliette Dibie-Barthélemy, Pierre-Henri Wuillemin and Cristina Manfredotti.

The papers of the SemEx 2019 workshop are published together with the papers of the PROFILES 2019 workshop as CEUR proceedings, Vol-2465:

Complete proceedings in one PDF file
BibTeX data for all papers