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Related Questions
- How do NLP pipelines typically handle OOV words in text classification tasks?
- What are some common techniques used to handle OOV words in NLP pipelines?
- Can you explain the impact of OOV words on text classification model performance?
- How do subword models like WordPiece or BPE handle OOV words?
- What are the advantages and disadvantages of using subword models for OOV word handling?
- Can you discuss the trade-offs between using a large vocabulary and handling OOV words in NLP pipelines?
- How do you evaluate the effectiveness of OOV word handling in NLP pipelines?
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