Nils Constantin Hellwig

According to our database, Nils Constantin Hellwig authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Nils Constantin Hellwig, Niklas Donhauser, Jakob Fehle, Udo Kruschwitz, Christian Wolff

CoRR, May, 2026

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, Markus Weinberger, Udo Kruschwitz, Christian Wolff

CoRR, May, 2026

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

Jakob Fehle, Nils Constantin Hellwig, Udo Kruschwitz, Christian Wolff

CoRR, April, 2026

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, Christian Wolff

CoRR, March, 2026

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

Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz, Christian Wolff

CoRR, March, 2026

AnnoABSA: A Web-Based Annotation Tool for Aspect-Based Sentiment Analysis with Retrieval-Augmented Suggestions.

Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz, Christian Wolff

CoRR, March, 2026

Leveraging fine-tuning of large language models for aspect-based sentiment analysis in resource-scarce environments.

Jakob Fehle, Udo Kruschwitz, Nils Constantin Hellwig, Christian Wolff

Knowl. Based Syst., 2026

2025

Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction.

Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz, Christian Wolff

CoRR, February, 2025

Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings.

Nils Constantin Hellwig, Jakob Fehle, Christian Wolff

Expert Syst. Appl., 2025

2024

Exploring Twitter discourse with BERTopic: topic modeling of tweets related to the major German parties during the 2021 German federal election.

Nils Constantin Hellwig, Jakob Fehle, Markus Bink, Thomas Schmidt, Christian Wolff

Int. J. Speech Technol., December, 2024

GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis.

Nils Constantin Hellwig, Jakob Fehle, Markus Bink, Christian Wolff

Proceedings of the 20th Conference on Natural Language Processing, 2024

2023

Transformer-Based Analysis of Sentiment Towards German Political Parties on Twitter During the 2021 Election Year.

Nils Constantin Hellwig, Markus Bink, Thomas Schmidt, Jakob Fehle, Christian Wolff

Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023