NLP Augsburg 04 at GermEval 2025 Shared Task on Candy Speech Detection: The Role of Surface Cues in Candy Speech Classification

Flauschgummi at GermEval 2025 Shared Task on Candy Speech Detection: Sentiment Analysis and Classification of Online Comments

This work examines the effectiveness of stacking traditional machine learning techniques like Logistic Regression, k-Nearest Neighbors, Random Forest, Multi-Layer Perceptron, Support Vector Classifier and simple word counting and compares them to BERT, a powerful pre-trained language model.

MUCnoHARM@GermEval Shared Task 2026: Retrieval-based In-Context Learning for Defamatory Offences, and Where It Falls Short

This work studies a variety of retrieval-based in-context learning (RetICL) strategies for detecting defamatory offences under {\S}{\S} 185-187 StGB (the subject of GermEval 2026 Subtask 4).

SINAI at HISEMOTIONS in IberLEF 2026: Three-Phase Fine-Tuning of a Domain-Adaptive BERT for Historical Emotion Detection

SpeechSense: A Paralinguistic-Focused Dataset for Fine-Grained Speech Sentiment Analysis

Recent advances in AI have revolutionized speech processing, yet effective speech understanding requires discerning not just what is said, but how it is said. Speech Sentiment Analysis plays a critical role in decoding these paralinguistic cues for diverse real-world applications such as recruitment and customer servic...

VCR at Hope-EXP2026: Parameter-Efficient Large Language Models and Multilingual Transformers for Hope Speech Analysis ⋆

Team SINAI at PAN 2026: Combining Stylometric Embeddings and IDF Features for Generative AI Text Detection