28 citations · 70 across the 12 of their papers we have counts for
19 papers · 1 filter
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…
Supporting Cognitive and Emotional Empathic Writing of Students
Thiemo Wambsganss, Christina Niklaus, Matthias Söllner +2
We present an annotation approach to capturing emotional and cognitive empathy in student-written peer reviews on business models in German. We propose an annotation scheme that al…
Context-Preserving Text Simplification
Christina Niklaus, Matthias Cetto, André Freitas +1
We present a context-preserving text simplification (TS) approach that recursively splits and rephrases complex English sentences into a semantic hierarchy of simplified sentences.…
A Corpus for Argumentative Writing Support in German
Thiemo Wambsganss, Christina Niklaus, Matthias Söllner +2
In this paper, we present a novel annotation approach to capture claims and premises of arguments and their relations in student-written persuasive peer reviews on business models…
XTE: Explainable Text Entailment
Vivian S. Silva, André Freitas, Siegfried Handschuh
Text entailment, the task of determining whether a piece of text logically follows from another piece of text, is a key component in NLP, providing input for many semantic applicat…