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Related Questions
- What are the common causes of the cold start issue in pre-trained word embeddings?
- How does the cold start issue affect the performance of downstream NLP tasks?
- Can you explain the difference between cold start and out-of-vocabulary (OOV) words?
- What are some common techniques used to mitigate the cold start issue in word embeddings?
- How does transfer learning help to alleviate the cold start issue?
- Can you discuss the impact of cold start on the quality of word embeddings?
- What are some real-world applications where the cold start issue is particularly problematic?
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