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Related Questions
- How do word embeddings capture semantic relationships between words?
- What are the key benefits of using word embeddings in NLP tasks?
- Can you explain the difference between word2vec and GloVe in terms of word embedding techniques?
- How do word embeddings handle out-of-vocabulary words?
- What are some common applications of word embeddings in NLP?
- How do word embeddings compare to traditional bag-of-words representations in terms of performance?
- Can you discuss the limitations of word embeddings and potential future research directions?
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