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Related Questions
- What is the impact of BERT's out-of-vocabulary word handling on its performance on low-resource languages?
- How does BERT's out-of-vocabulary word handling affect its generalizability to unseen text from different domains?
- Can you explain the concept of subwordization and its role in BERT's out-of-vocabulary word handling?
- What are the implications of BERT's out-of-vocabulary word handling on its ability to capture nuanced language patterns?
- How does BERT's out-of-vocabulary word handling compare to other language models, such as WordPiece or Word2Vec?
- Can you discuss the trade-offs between BERT's out-of-vocabulary word handling and its overall model size and complexity?
- What are the potential solutions to improve BERT's out-of-vocabulary word handling, such as using external knowledge graphs or multi-task learning?
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