%0 Conference Paper %1 Spliethöver_Keiff_Wachsmuth_2022 %A Spliethöver, Maximilian %A Keiff, Maximilian %A Wachsmuth, Henning %B Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) %D 2022 %I Association for Computational Linguistics %K leibnizailab myown nlp %T No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media

@inproceedings{Spliethöver_Keiff_Wachsmuth_2022, added-at = {2022-11-17T09:29:21.000+0100}, author = {Spliethöver, Maximilian and Keiff, Maximilian and Wachsmuth, Henning}, biburl = {https://www.bibsonomy.org/bibtex/2e62130dcd2e45038aa8321831b57ba38/ail3s}, booktitle = {Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)}, interhash = {45f29f5b6b526d8f37b8a4746963909a}, intrahash = {e62130dcd2e45038aa8321831b57ba38}, keywords = {leibnizailab myown nlp}, publisher = {Association for Computational Linguistics}, timestamp = {2022-11-18T12:52:40.000+0100}, title = {No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media}, year = 2022 }