activity
20172026
most citedA Sentence Simplification System for Improving Relation Extraction

28 citations · 71 across the 11 of their papers we have counts for

collaborators

16 papers

cs.CL2026

Swiss4Arg: A Parallel Dataset for Multilingual Argument Mining across Swiss National Languages

Sophia Conrad, Fatma-Zohra Rezkellah, Christina Niklaus +1

We present Swiss4Arg, a multilingual dataset for argument mining based on official Swiss voting brochures, covering all four national languages: German, French, Italian, and Romans…

cs.CL2026

TruthSplit: Operationalizing Conditional Validity in Arguments Through Multi-Perspective Reasoning

Benjamin Stieger, Maximilian Terberger, Thomas Huber +1

We present TruthSplit, an interactive system for multi-perspective argument analysis. Existing argumentation tools typically analyze properties of the argument itself, such as stru…

cs.CL2025

CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models

Thomas Huber, Christina Niklaus

While LLMs have been extensively studied on general text generation tasks, there is less research on text rewriting, a task related to general text generation, and particularly on…

econ.EM2025

DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts

Wonseong Kim, Christina Niklaus, Choong Lyol Lee +1

This study proposes DisSim-FinBERT, a novel framework that integrates Discourse Simplification (DisSim) with Aspect-Based Sentiment Analysis (ABSA) to enhance sentiment prediction…

cs.CL2023★ 4 cited

Towards LLM-based Autograding for Short Textual Answers

Johannes Schneider, Bernd Schenk, Christina Niklaus

Grading exams is an important, labor-intensive, subjective, repetitive, and frequently challenging task. The feasibility of autograding textual responses has greatly increased than…

cs.CL2023

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…