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Related Questions
- What are the common techniques used to handle out-of-vocabulary words in machine learning-based approaches?
- How do you handle out-of-vocabulary words in natural language processing tasks?
- What strategies can be employed to handle unknown words in machine learning models?
- Can you explain the concept of subword modeling and its application in handling out-of-vocabulary words?
- How does the use of word embeddings, such as Word2Vec or GloVe, address the issue of out-of-vocabulary words?
- What are the trade-offs between using a large vocabulary and using a smaller vocabulary with out-of-vocabulary word handling techniques?
- Can you discuss the role of pre-training and fine-tuning in handling out-of-vocabulary words in machine learning models?
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