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Related Questions
- How do traditional bag-of-words models represent out-of-vocabulary words?
- What are the limitations of traditional bag-of-words models when encountering out-of-vocabulary words?
- How do word embeddings, such as Word2Vec or GloVe, handle out-of-vocabulary words?
- What are the advantages of using word embeddings over traditional bag-of-words models for out-of-vocabulary words?
- Can you explain the concept of subword modeling and how it relates to out-of-vocabulary words?
- How do models that use character-level or subword-level representations handle out-of-vocabulary words?
- What are some common techniques used to handle out-of-vocabulary words in natural language processing tasks?
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