Detection of Group Appeals
This model serves as a baseline of the LREC 2026 submission Appeal, Align, Divide? Stance Detection for Group-Directed Messages in German Parliamentary Debates.
moderngbert-parl-german-stance-detection is trained to detect group appeals in a given text sequence, i.e., to assign a stance (favour, against, neither) to a previously identified social group. Refer to our paper for further details on model training and evaluation.
π Model Overview
- Task Type: Single-label, multi-class sequence classification
- Base Model: ModernGBERT 134M
- Fine-tuning method: full fine-tuning
- Language: German
- Downloads last month
- 1
Model tree for schlenker/moderngbert-parl-german-stance-detection
Base model
LSX-UniWue/ModernGBERT_134M