
# BERT Regard classification model 

This model is the result of a project entitled [Towards Controllable Biases in Language Generation](https://github.com/ewsheng/controllable-nlg-biases). It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language. 

*Regard*  measures language polarity towards and social perceptions of a demographic (compared to sentiment, which only measures overall language polarity).

### BibTeX entry and citation info

```bibtex
@article{sheng2019woman,
  title={The woman worked as a babysitter: On biases in language generation},
  author={Sheng, Emily and Chang, Kai-Wei and Natarajan, Premkumar and Peng, Nanyun},
  journal={arXiv preprint arXiv:1909.01326},
  year={2019}
}
```

{"license": "cc-by-4.0"}
transformers pytorch bert text-classification license:cc-by-4.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #text-classification #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


# BERT Regard classification model 

This model is the result of a project entitled Towards Controllable Biases in Language Generation. It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language. 

*Regard*  measures language polarity towards and social perceptions of a demographic (compared to sentiment, which only measures overall language polarity).

### BibTeX entry and citation info



# BERT Regard classification model 

This model is the result of a project entitled Towards Controllable Biases in Language Generation. It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language. 

*Regard*  measures language polarity towards and social perceptions of a demographic (compared to sentiment, which only measures overall language polarity). ### BibTeX entry and citation info
TAGS
#transformers #pytorch #bert #text-classification #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # BERT Regard classification model 

This model is the result of a project entitled Towards Controllable Biases in Language Generation. It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language. 

*Regard*  measures language polarity towards and social perceptions of a demographic (compared to sentiment, which only measures overall language polarity). ### BibTeX entry and citation info
passage: TAGS
#transformers #pytorch #bert #text-classification #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
# BERT Regard classification model 

This model is the result of a project entitled Towards Controllable Biases in Language Generation. It consists of a BERT classifier (no ensemble) trained on 1.7K samples of biased language. 

*Regard*  measures language polarity towards and social perceptions of a demographic (compared to sentiment, which only measures overall language polarity).### BibTeX entry and citation info