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Related Questions
- How do word embeddings like word2vec and GloVe handle out-of-vocabulary words?
- What techniques do word2vec and GloVe use to handle rare words in a dataset?
- Can you compare the strategies used by word2vec and GloVe to handle rare words?
- How do word2vec and GloVe mitigate the impact of rare words on the overall performance of the model?
- What is the effect of rare words on the quality of word embeddings generated by word2vec and GloVe?
- Can you discuss the trade-offs between handling rare words and the computational resources required by word2vec and GloVe?
- How do word2vec and GloVe adapt to new or unseen words in a dataset?
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