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Related Questions
- How does subword modeling affect the interpretability of BERT's outputs for words with low frequencies in the training data?
- Can you explain how BERT's handling of rare words through subword modeling might impact the accuracy of its predictions?
- What are the limitations of using subword modeling for rare words in BERT, and are there any potential workarounds?
- In what ways does subword modeling compromise the interpretability of BERT's outputs for words that are not in the training data?
- How does the use of subword modeling in BERT affect the representation of out-of-vocabulary words, and what are the implications for rare word interpretation?
- Can you discuss the challenges of interpreting BERT's outputs for rare words when subword modeling is used, and are there any proposed solutions?
- What are the trade-offs between using subword modeling to handle rare words in BERT and the potential loss of interpretability, and are there any potential mitigations?
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