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Related Questions
- How do word2vec and GloVe handle rare words in their vector representations?
- What are the implications of rare word handling on a language model's performance?
- Can you provide an example of how word2vec and GloVe differ in their approach to rare words?
- How do the vector representations of rare words affect the overall performance of a language model?
- What are some strategies for handling rare words in language models, and how do they compare to word2vec and GloVe?
- Can you discuss the trade-offs between preserving rare word information and reducing the dimensionality of the vector space?
- How do the rare word handling techniques in word2vec and GloVe impact the model's ability to generalize to unseen data?
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