28 citations · 151 across the 25 of their papers we have counts for
30 papers
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions
Christina Niklaus, Matthias Cetto, André Freitas +1
Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence l…
Analyzing FOMC Minutes: Accuracy and Constraints of Language Models
Wonseong Kim, Jan Frederic Spörer, Siegfried Handschuh
This research article analyzes the language used in the official statements released by the Federal Open Market Committee (FOMC) after its scheduled meetings to gain insights into…
Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision
Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
Determining an appropriate number of attention heads on one hand and the number of transformer-encoders, on the other hand, is an important choice for Computer Vision (CV) tasks us…
Training Neural Networks in Single vs Double Precision
Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
The commitment to single-precision floating-point arithmetic is widespread in the deep learning community. To evaluate whether this commitment is justified, the influence of comput…
Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns
Reto Gubelmann, Siegfried Handschuh
In this article, we explore the shallow heuristics used by transformer-based pre-trained language models (PLMs) that are fine-tuned for natural language inference (NLI). To do so,…
Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain
Reto Gubelmann, Peter Hongler, Siegfried Handschuh
In this article, we explore the potential of transformer-based language models (LMs) to correctly represent normative statements in the legal domain, taking tax law as our use case…