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Related Questions
- What are the common challenges in language modeling when dealing with a new topic or entity?
- How do fixed word representations, such as word embeddings, contribute to the 'cold start' problem in language modeling?
- Can you describe the concept of 'cold start' in language modeling and how it affects the performance of language models?
- How do new words or entities without prior training data impact the accuracy of language models?
- What are some common solutions to mitigate the 'cold start' problem in language modeling?
- How do dynamic word representations, such as contextualized embeddings, help alleviate the 'cold start' issue?
- Can you explain why static word representations, such as bag-of-words, are more prone to the 'cold start' problem compared to dynamic representations?
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