134 citations · 182 across the 13 of their papers we have counts for
3 papers · 1 filter
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
Alexander Rietzler, Sebastian Stabinger, Paul Opitz +1
Aspect-Target Sentiment Classification (ATSC) is a subtask of Aspect-Based Sentiment Analysis (ABSA), which has many applications e.g. in e-commerce, where data and insights from r…
Limitation of capsule networks
David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez
A recently proposed method in deep learning groups multiple neurons to capsules such that each capsule represents an object or part of an object. Routing algorithms route the outpu…
Evaluating CNNs on the Gestalt Principle of Closure
Gregor Ehrensperger, Sebastian Stabinger, Antonio Rodríguez Sánchez
Deep convolutional neural networks (CNNs) are widely known for their outstanding performance in classification and regression tasks over high-dimensional data. This made them a pop…