Despite the increasing visibility of women in technology, women remain underrepresented in Natural Language Processing education and careers. Efforts have been made through workshops, networking events, and inclusive policy-making, but the pace of change is slow. To effectively support women in NLP, there needs to be a concerted effort to address unconscious biases, provide role models, and create a more inclusive curriculum that speaks to the challenges women face in the field.
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