No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

Maximilian Spliethöver, Maximilian Keiff, Henning Wachsmuth. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022. pages 2081-2093, Association for Computational Linguistics, 2022. [doi]

@inproceedings{SpliethoverKW22,
  title = {No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media},
  author = {Maximilian Spliethöver and Maximilian Keiff and Henning Wachsmuth},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-emnlp.152},
  researchr = {https://researchr.org/publication/SpliethoverKW22},
  cites = {0},
  citedby = {0},
  pages = {2081-2093},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}