metadata
language:
- de
base_model:
- google-bert/bert-base-german-cased
pipeline_tag: token-classification
library_name: transformers
tags:
- political-text-analysis
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.