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Related Questions
- What is subwording and how does it help with out-of-vocabulary words in NLP models?
- How does transfer learning help mitigate the impact of out-of-vocabulary words on NLP model performance?
- What is the role of pre-training in mitigating the impact of out-of-vocabulary words on NLP model performance?
- How does masking out-of-vocabulary words during training help improve the performance of NLP models?
- Can you explain the concept of vocabulary expansion and how it is used to mitigate out-of-vocabulary words?
- How do NLP models handle word embeddings for out-of-vocabulary words, and what techniques are used to deal with them?
- What is the effect of using a large and diverse training dataset on the performance of NLP models in handling out-of-vocabulary words?
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