schlenker/parl-german-mope

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).

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🔍 Model Overview

• Task Type: Token classification
• Base Model: GBERT base
• Fine-tuning method: full fine-tuning
• Language: German

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📚 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.

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🏋️ Model Training

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📊 Evaluation

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🚀 How to Use

Please, refer to our GitHub repo for detailed instructions on the required input format and how to run the model.

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⚠️ Limitations