Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information

Cite

Text

Wan et al. "Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I12.26698

Markdown

[Wan et al. "Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/wan2023aaai-everyone/) doi:10.1609/AAAI.V37I12.26698

BibTeX

@inproceedings{wan2023aaai-everyone,
  title     = {{Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information}},
  author    = {Wan, Ruyuan and Kim, Jaehyung and Kang, Dongyeop},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {14523-14530},
  doi       = {10.1609/AAAI.V37I12.26698},
  url       = {https://mlanthology.org/aaai/2023/wan2023aaai-everyone/}
}