Research map / Probabilistic and scientific modeling / Treatment effects
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · GBWR-Correlation | Pearson correlation coefficient: 0.6884 -> 0.6422 | Helped |
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · GBWR-Profession | Pearson correlation coefficient: 0.7161 -> 0.6804 | Helped |
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · Word similarity tasks (eight-task average) | Spearman correlation: 6.96% | Helped |
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · Semantic textual similarity tasks (20-task average) | Pearson correlation coefficient: 14.19% | Helped |
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · WinoBias | PRO-ANTI F1 difference: 87.26% | Helped |
| Apply Half-Sibling Regression to GloVe | GloVe word embeddings · OntoNotes-test | average F1 score: 66.5 -> 66.2 | No clear effect |
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