Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics (2023.findings-emnlp)
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| Challenge: | Recent research has shown that static word embeddings can encode words’ frequencies, but little has been studied about this behavior. |
| Approach: | They propose to use static word embeddings to encode words' frequencies and to assess the impact of this relationship on embeddable bias metrics. |
| Outcome: | The proposed model shows that word embeddings can produce higher similarity between high-frequency words than other embeddables. |
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