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Related Questions
- What strategies do NLP models use to handle new words or phrases not seen during training?
- How do NLP models handle unknown or out-of-domain words and phrases?
- Can you explain the concept of subword modeling in NLP and its role in handling out-of-vocabulary words?
- What techniques do NLP models use to handle words with multiple possible meanings or senses?
- How do NLP models handle idiomatic expressions or figurative language that are not explicitly trained on?
- What is the difference between out-of-vocabulary and out-of-domain words in NLP, and how are they handled?
- Can you discuss the impact of out-of-vocabulary words on NLP model performance and how to mitigate it?
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