A major hurdle in supporting women in NLP is the pervasive gender bias in language technologies and the data sets used for training them. Educational programs must include critical discussions on bias detection and mitigation strategies. While there are efforts underway to address these issues, they are not comprehensive or integrated into the core NLP curriculum, which is crucial for preparing future researchers to create more equitable technologies.
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