2 citations · 2 across the 1 of their papers we have counts for
4 papers
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
Vincenzo Perri, Lisi Qarkaxhija, Albin Zehe +2
Natural Language Processing and Machine Learning have considerably advanced Computational Literary Studies. Similarly, the construction of co-occurrence networks of literary charac…
SimLoss: Class Similarities in Cross Entropy
Konstantin Kobs, Michael Steininger, Albin Zehe +2
One common loss function in neural network classification tasks is Categorical Cross Entropy (CCE), which punishes all misclassifications equally. However, classes often have an in…
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
Michael Steininger, Konstantin Kobs, Albin Zehe +3
Land-use regression (LUR) models are important for the assessment of air pollution concentrations in areas without measurement stations. While many such models exist, they often us…
ClaiRE at SemEval-2018 Task 7 - Extended Version
Lena Hettinger, Alexander Dallmann, Albin Zehe +2
In this paper we describe our post-evaluation results for SemEval-2018 Task 7 on clas- sification of semantic relations in scientific literature for clean (subtask 1.1) and noisy d…