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Related Questions
- What are some common techniques used to handle out-of-vocabulary words in pre-trained language models?
- How can subword tokenization improve the handling of out-of-vocabulary words?
- What is the role of vocabulary size in the performance of pre-trained language models on out-of-vocabulary words?
- Can you explain the concept of subword embeddings and how they can be used to handle out-of-vocabulary words?
- How can pre-trained language models be fine-tuned to improve their handling of out-of-vocabulary words?
- What is the impact of word dropout on the handling of out-of-vocabulary words in pre-trained language models?
- Can you discuss the trade-offs between using a large vocabulary and using a smaller vocabulary with subword tokenization?
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