News
News & blog posts
CausalSense: Leveraging Common Sense Knowledge and LLMs for Joint Event Extraction and Relation Classification
May 11, 2026
Can a machine distinguish between what causes an event and what merely makes it possible?
Integrating Causal Reasoning into Automated Fact-Checking
March 23, 2026
Fact-checking is more useful when it can explain the chain of events behind a verdict.
From Nodes to Narratives: A Knowledge Graph-based Storytelling Approach
March 24, 2024
Knowledge graphs can turn connected events into narratives that preserve the logic of what happened.
Can Synthetic Data Make Event-Relation Systems Trainable? Answers from SEMMES 2023
May 29, 2023
Synthetic data can improve event-relation training up to 116%.
Our paper about FARO data model accepted at EKAW 2022
September 22, 2022
Which kind of relations between events it is interesting to represent?
kFLOW project has started!
January 10, 2022
We are very proud to announce the kick-off of the Knowledge Flow research project, acronym: kFLOW. This project is inscribed...