activity
20242026
collaborators

21 papers

cs.CL2026

Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis

Nils Constantin Hellwig, Niklas Donhauser, Jakob Fehle +2

Recent work explored the capabilities of Large Language Models (LLMs) in Aspect-Based Sentiment Analysis (ABSA) through few-shot prompting, requiring substantially fewer annotated…

cs.CL2026

Annotation Quality in Aspect-Based Sentiment Analysis: A Case Study Comparing Experts, Students, Crowdworkers, and Large Language Model

Niklas Donhauser, Jakob Fehle, Nils Constantin Hellwig +3

Aspect-Based Sentiment Analysis (ABSA) enables fine-grained opinion analysis by identifying sentiments toward specific aspects or targets within a text. While ABSA has been widely…

cs.CL2026

Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis

Jakob Fehle, Nils Constantin Hellwig, Udo Kruschwitz +1

Aspect-based Sentiment Analysis (ABSA) extracts fine-grained opinions toward specific aspects within text but remains largely English-focused despite major advances in transformer-…

cs.IR2026

From Questions to Trust Reports: A LLM-IR Framework for the TREC 2025 DRAGUN Track

Ignacy Alwasiak, Kene Nnolim, Jaclyn Thi +5

The DRAGUN Track at TREC 2025 targets the growing need for effective support tools that help users evaluate the trustworthiness of online news. We describe the UR_Trecking system s…

cs.CL2026

nchellwig at SemEval-2026 Task 3: Self-Consistent Structured Generation (SCSG) for Dimensional Aspect-Based Sentiment Analysis using Large Language Models

Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz +1

We present Self-Consistent Structured Generation (SCSG) for Dimensional Aspect-Based Sentiment Analysis in SemEval-2026 Task 3 (Track A). SCSG enhances prediction reliability by ex…

cs.CL2026

LLM-as-an-Annotator: Training Lightweight Models with LLM-Annotated Examples for Aspect Sentiment Tuple Prediction

Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz +1

Training models for Aspect-Based Sentiment Analysis (ABSA) tasks requires manually annotated data, which is expensive and time-consuming to obtain. This paper introduces LA-ABSA, a…