Improving the Performance of NLP Systems on the Gender-Neutral “They”
Grammarly
OCTOBER 31, 2023
We’re committed to sharing what we learn, giving back to the natural language processing (NLP) research community, and making NLP systems better for everyone. In this blog, we’ll walk through our findings and share a novel technique for creating a synthetic dataset that includes many examples of the singular, gender-neutral they.
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