While NLP holds promise for addressing gender disparities in STEM, its impact is contingent on the quality of the data it is trained on and the commitment of stakeholders to act on its insights. Without addressing these foundational requirements, NLP alone cannot close the gender gap in STEM, but it can be a powerful tool in a broader strategy. Each of these points underscores the multifaceted approach needed to utilize Natural Language Processing as a tool for promoting gender equality in STEM. The technology is not a panacea but can significantly contribute to broader efforts aimed at creating a more inclusive and diverse STEM community.
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