# Storytelling Classifier (trained on europolis) (storytelling-europolis-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 together with the annotation is called the [Europarl corpus](https://aclanthology.org/2005.mtsummit-papers.11.pdf).



## Model description
The language is English (en).

{}
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 europolis) (storytelling-europolis-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 together with the annotation is called the Europarl corpus.



## Model description
The language is English (en).

# Storytelling Classifier (trained on europolis) (storytelling-europolis-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 together with the annotation is called the Europarl corpus. ## Model description
The language is English (en).
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # Storytelling Classifier (trained on europolis) (storytelling-europolis-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 together with the annotation is called the Europarl corpus. ## Model description
The language is English (en).
passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
# Storytelling Classifier (trained on europolis) (storytelling-europolis-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 together with the annotation is called the Europarl corpus.## Model description
The language is English (en).