Share this page:

The Woman Worked as a Babysitter: On Biases in Language Generation

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), short, 2019.

Download the full text


Abstract


Bib Entry

@inproceedings{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},
  booktitle = {2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), short},
  year = {2019}
}

Related Publications

  • Towards Controllable Biases in Language Generation

    Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)-Findings, long, 2020.
    Full Text Poster Code Abstract BibTeX Details
    We present a general approach towards controllable societal biases in natural language generation (NLG). Building upon the idea of adversarial triggers, we develop a method to induce societal biases in generated text when input prompts contain mentions of specific demographic groups. We then analyze two scenarios: 1) inducing negative biases for one demographic and positive biases for another demographic, and 2) equalizing biases between demographics. The former scenario enables us to detect the types of biases present in the model. Specifically, we show the effectiveness of our approach at facilitating bias analysis by finding topics that correspond to demographic inequalities in generated text and comparing the relative effectiveness of inducing biases for different demographics. The second scenario is useful for mitigating biases in downstream applications such as dialogue generation. In our experiments, the mitigation technique proves to be effective at equalizing the amount of biases across demographics while simultaneously generating less negatively biased text overall.
    @inproceedings{sheng2020towards,
      title = {Towards Controllable Biases in Language Generation},
      author = {Sheng, Emily and Chang, Kai-Wei and Natarajan, Premkumar and Peng, Nanyun},
      booktitle = {the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)-Findings, long},
      year = {2020}
    }
    
    Details
  • Man is to person as woman is to location: Measuring gender bias in named entity recognition

    Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, and Aram Galstyan, in 31st ACM Conference on Hypertext and Social Media (HT’20), 2020.
    Full Text BibTeX Details
    @inproceedings{mehrabi2020man,
      title = {Man is to person as woman is to location: Measuring gender bias in named entity recognition},
      author = {Mehrabi, Ninareh and Gowda, Thamme and Morstatter, Fred and Peng, Nanyun and Galstyan, Aram},
      booktitle = {31st ACM Conference on Hypertext and Social Media (HT’20)},
      year = {2020}
    }
    
    Details
  • The Woman Worked as a Babysitter: On Biases in Language Generation

    Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), short, 2019.
    Full Text BibTeX Details
    @inproceedings{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},
      booktitle = {2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), short},
      year = {2019}
    }
    
    Details
  • Debiasing Community Detection: The Importance of Lowly-Connected Nodes

    Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, and Aram Galstyan, in The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), 2019.
    Full Text BibTeX Details
    @inproceedings{mehrabi2019debiasing,
      title = {Debiasing Community Detection: The Importance of Lowly-Connected Nodes},
      author = {Mehrabi, Ninareh and Morstatter, Fred and Peng, Nanyun and Galstyan, Aram},
      booktitle = {The 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019)},
      year = {2019}
    }
    
    Details