google/gemma-7b
Text Generation • 9B • Updated • 71.5k • 3.34k
A study reveals and analyzes gender bias in coreference resolution systems using a novel set of gender-neutral minimal pair sentences.
We present an empirical study of gender bias in coreference resolution systems. We first introduce a novel, Winograd schema-style set of minimal pair sentences that differ only by pronoun gender. With these "Winogender schemas," we evaluate and confirm systematic gender bias in three publicly-available coreference resolution systems, and correlate this bias with real-world and textual gender statistics.
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