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**bert-base-german-cased_cimt-argument-concreteness** is a fine-tuned BERT model that is built to predict the concreteness of argumentative utterances in urban planning processes. It has been trained to recognize three classes: high concreteness (LABEL_2), intermediate concreteness (LABEL_1), and low concreteness (LABEL_0).
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Specifically, this model is a bert-base-german-cased that was fine-tuned on https://github.com/juliaromberg/cimt-argument-concreteness-dataset.
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## Background
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**bert-base-german-cased_cimt-argument-concreteness** is a fine-tuned BERT model that is built to predict the concreteness of argumentative utterances in urban planning processes. It has been trained to recognize three classes: high concreteness (LABEL_2), intermediate concreteness (LABEL_1), and low concreteness (LABEL_0).
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Specifically, this model is a *bert-base-german-cased* that was fine-tuned on https://github.com/juliaromberg/cimt-argument-concreteness-dataset.
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## Background
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