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Related Questions
- What are the common techniques used to handle out-of-vocabulary (OOV) words in word embeddings?
- How do word embeddings handle words that are not present in the training data?
- What is the effect of OOV words on the performance of a language model?
- Can you explain the concept of subwording in the context of word embeddings?
- How do techniques like subwording and character-based word embeddings address OOV words?
- What are the trade-offs between using subwording and character-based word embeddings for OOV words?
- Can you provide examples of how OOV words are handled in popular word embedding models like Word2Vec and GloVe?
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