# Storytelling Classifier (trained on regulationroom) (storytelling-regulationroom-en)

This model is fine-tuning the [BERT base model](https://huggingface.co/bert-base-uncased) on the task of predicting whether a comment or argument contains *storytelling* or not (binary classification). The task together with the dataset was introduced in [this paper](https://aclanthology.org/2022.acl-long.379/).
The original corpus and annotation was introduced in [this paper](https://aclanthology.org/L18-1257.pdf).



## Model description


{}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

# Storytelling Classifier (trained on regulationroom) (storytelling-regulationroom-en)

This model is fine-tuning the BERT base model on the task of predicting whether a comment or argument contains *storytelling* or not (binary classification). The task together with the dataset was introduced in this paper.
The original corpus and annotation was introduced in this paper.



## Model description


# Storytelling Classifier (trained on regulationroom) (storytelling-regulationroom-en)

This model is fine-tuning the BERT base model on the task of predicting whether a comment or argument contains *storytelling* or not (binary classification). The task together with the dataset was introduced in this paper.
The original corpus and annotation was introduced in this paper. ## Model description
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # Storytelling Classifier (trained on regulationroom) (storytelling-regulationroom-en)

This model is fine-tuning the BERT base model on the task of predicting whether a comment or argument contains *storytelling* or not (binary classification). The task together with the dataset was introduced in this paper.
The original corpus and annotation was introduced in this paper. ## Model description
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
# Storytelling Classifier (trained on regulationroom) (storytelling-regulationroom-en)

This model is fine-tuning the BERT base model on the task of predicting whether a comment or argument contains *storytelling* or not (binary classification). The task together with the dataset was introduced in this paper.
The original corpus and annotation was introduced in this paper.## Model description