chkla
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parlbert-topic-german

Text Classification Transformers PyTorch Safetensors German bert Inference Endpoints

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chkla commited on Jun 20, 2022

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 This model was trained on \~10k manually annotated interpellations (📚 [Breunig/ Schnatterer 2019](https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198835332.001.0001/oso-9780198835332)) of comparative agenda topics to classify text into one of twenty labels (annotation codebook).
-_Note: "Interpellation is a formal request of a parliament to the respective government." https://en.wikipedia.org/wiki/Interpellation_(politics)_
 🗃 **Dataset**

 This model was trained on \~10k manually annotated interpellations (📚 [Breunig/ Schnatterer 2019](https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198835332.001.0001/oso-9780198835332)) of comparative agenda topics to classify text into one of twenty labels (annotation codebook).
+_Note: "Interpellation is a formal request of a parliament to the respective government."([Wikipedia](https://en.wikipedia.org/wiki/Interpellation_(politics)))_
 🗃 **Dataset**