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parl-german-mope
schlenker/parl-german-mope
parl-german-mope is a token classification model from schlenker. Use it when you need labels on individual words, such as names. It is set up for transformers.
This model is part of GePaDeU, which equips parliamentary debates of the German Bundestag with rich semantic and pragmatic information across multiple annotation layers.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025
- SHA
- b5092fe5
Base models
Model card
From the Hugging Face model README
Annotation Layer: MoPE
This model is part of GePaDeU, which equips parliamentary debates of the German Bundestag with rich semantic and pragmatic information across multiple annotation layers.
parl-german-mope is trained on parliamentary speeches to tag a sequence with Mentions of the People and the Elite (MoPE).
🔍 Model Overview
- Task Type: Token classification
- Base Model: GBERT base
- Fine-tuning method: full fine-tuning
- Language: German
📚 Dataset
Models were trained and evaluated on 267 manually annotated parliamentary speeches from the German Bundestag, ranging from 2017-2021, resulting in 9,297 annotated mentions.
🏋️ Model Training
📊 Evaluation
🚀 How to Use
Please, refer to our GitHub repo for detailed instructions on the required input format and how to run the model.
⚠️ Limitations
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- de
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025