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Related Questions
- How do higher-dimensional word embeddings affect the model's ability to learn nuances in word meanings for rare words?
- Can higher-dimensional word embeddings exacerbate the issue of rare word handling by increasing the risk of overfitting?
- In what ways do higher-dimensional word embeddings improve the model's ability to generalize to unseen rare words?
- Do higher-dimensional word embeddings lead to a better representation of rare words in the vector space, or do they worsen the representation?
- How do higher-dimensional word embeddings impact the model's ability to handle out-of-vocabulary (OOV) words, which are often rare?
- Can higher-dimensional word embeddings help mitigate the issue of rare words by allowing the model to learn more abstract representations?
- What are the trade-offs between using higher-dimensional word embeddings and improving rare word handling, and how can they be balanced?
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