Before revision:  To address and combat this , the NLP community relies on a variety of metrics to identify and quantify bias in black-box modelsand to guide efforts at debiasing . Some of these metrics are intrinsic, and are measured in word embedding spaces, and some are extrinsic, which measure the bias present downstream in the tasks that the word embeddings are plugged into.
After revision:  To address and combat this , the NLP community relies on a variety of metrics to identify and quantify bias in models . Some of these metrics are intrinsic, and are measured in word embedding spaces, and some are extrinsic, which measure the bias present downstream in the tasks that the word embeddings are plugged into.