4 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
Knodle: Modular Weakly Supervised Learning with PyTorch
Anastasiia Sedova, Andreas Stephan, Marina Speranskaya +1
Strategies for improving the training and prediction quality of weakly supervised machine learning models vary in how much they are tailored to a specific task or integrated with a…
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
Marina Speranskaya, Martin Schmitt, Benjamin Roth
Knowledge base completion (KBC) methods aim at inferring missing facts from the information present in a knowledge base (KB) by estimating the likelihood of candidate facts. In the…