93 citations · 113 across the 4 of their papers we have counts for
4 papers
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Boshko Koloski, Timen Stepišnik-Perdih, Marko Robnik-Šikonja +2
Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance a…
Semantic Reasoning from Model-Agnostic Explanations
Timen Stepišnik Perdih, Nada Lavrač, Blaž Škrlj
With the wide adoption of black-box models, instance-based \emph{post hoc} explanation tools, such as LIME and SHAP became increasingly popular. These tools produce explanations, p…
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification
Timen Stepišnik Perdih, Senja Pollak, Blaž \v{Skrlj}
Ontologies are increasingly used for machine reasoning over the last few years. They can provide explanations of concepts or be used for concept classification if there exists a ma…
Identification of COVID-19 related Fake News via Neural Stacking
Boshko Koloski, Timen Stepišnik Perdih, Senja Pollak +1
Identification of Fake News plays a prominent role in the ongoing pandemic, impacting multiple aspects of day-to-day life. In this work we present a solution to the shared task tit…