91 citations · 195 across the 28 of their papers we have counts for
31 papers
MemeGraphs: Linking Memes to Knowledge Graphs
Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair +4
Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and s…
Cross-functional Analysis of Generalisation in Behavioural Learning
Pedro Henrique Luz de Araujo, Benjamin Roth
In behavioural testing, system functionalities underrepresented in the standard evaluation setting (with a held-out test set) are validated through controlled input-output pairs. O…
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
Anastasiia Sedova, Benjamin Roth
Self-supervised knowledge-graph completion (KGC) relies on estimating a scoring model over (entity, relation, entity)-tuples, for example, by embedding an initial knowledge graph.…
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
Marina Speranskaya, Sameh Methias, Benjamin Roth
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer…
SepLL: Separating Latent Class Labels from Weak Supervision Noise
Andreas Stephan, Vasiliki Kougia, Benjamin Roth
In the weakly supervised learning paradigm, labeling functions automatically assign heuristic, often noisy, labels to data samples. In this work, we provide a method for learning f…
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Luisa März, Ehsaneddin Asgari, Fabienne Braune +2
Weak supervision is leveraged in a wide range of domains and tasks due to its ability to create massive amounts of labeled data, requiring only little manual effort. Standard appro…