Zhao, Xingmeng, Niazi, Ali, and Rios, Anthony. A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. Retrieved from https://par.nsf.gov/biblio/10502020. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies .

Zhao, Xingmeng, Niazi, Ali, & Rios, Anthony. A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (). Retrieved from https://par.nsf.gov/biblio/10502020.

Zhao, Xingmeng, Niazi, Ali, and Rios, Anthony. "A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models". Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (). Country unknown/Code not available: Association for Computational Linguistics. https://par.nsf.gov/biblio/10502020.

@article{osti_10502020,
place = {Country unknown/Code not available}, title = {A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models}, url = {https://par.nsf.gov/biblio/10502020}, abstractNote = {}, journal = {Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, publisher = {Association for Computational Linguistics}, author = {Zhao, Xingmeng and Niazi, Ali and Rios, Anthony}, }