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Pre-trained model:

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bert xlm-roberta distilbert gpt2 bart roberta mbart

UKP Sentential Argument Mining

The UKP Sentential Argument Mining Corpus includes 25,492 sentences over eight controversial topics. Each sentence was annotated via crowdsourcing as either a supporting argument, an attacking argument, or not an argument with respect to the topic.
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argument/ukpsent@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on the UKP Sentential Argument Mining dataset.

argument/ukpsent@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on the UKP Sentential Argument Mining dataset.

Paper

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