43 citations · 52 across the 8 of their papers we have counts for
3 papers · 1 filter
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg, Marc Hübner, David Harbecke +2
Representations in the hidden layers of Deep Neural Networks (DNN) are often hard to interpret since it is difficult to project them into an interpretable domain. Graph Convolution…
Neural Vector Conceptualization for Word Vector Space Interpretation
Robert Schwarzenberg, Lisa Raithel, David Harbecke
Distributed word vector spaces are considered hard to interpret which hinders the understanding of natural language processing (NLP) models. In this work, we introduce a new method…
Train, Sort, Explain: Learning to Diagnose Translation Models
Robert Schwarzenberg, David Harbecke, Vivien Macketanz +2
Evaluating translation models is a trade-off between effort and detail. On the one end of the spectrum there are automatic count-based methods such as BLEU, on the other end lingui…