activity
20222025
most citedSpeaker attribution in German parliamentary debates with QLoRA-adapted large language models

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

AIxcellent Vibes at GermEval 2025 Shared Task on Candy Speech Detection: Improving Model Performance by Span-Level Training

Christian Rene Thelen, Patrick Gustav Blaneck, Tobias Bornheim +2

Positive, supportive online communication in social media (candy speech) has the potential to foster civility, yet automated detection of such language remains underexplored, limit…

cs.CL2024

Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)

Florian Bremm, Patrick Gustav Blaneck, Tobias Bornheim +2

Sexism in online media comments is a pervasive challenge that often manifests subtly, complicating moderation efforts as interpretations of what constitutes sexism can vary among i…

cs.CL2023★ 3 cited

Speaker attribution in German parliamentary debates with QLoRA-adapted large language models

Tobias Bornheim, Niklas Grieger, Patrick Gustav Blaneck +1

The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automat…

cs.CL2022★ 2 cited

Automatic Readability Assessment of German Sentences with Transformer Ensembles

Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger +1

Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large…