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Related Questions
- What are some techniques to handle out-of-vocabulary words in language models?
- How can we improve the performance of language models on words not seen during training?
- What are some strategies to reduce the impact of fixed word representations on language models?
- Can we use character-level or subword representations to mitigate the issue of out-of-vocabulary words?
- How do contextualized word representations, such as BERT, address the problem of out-of-vocabulary words?
- What are some trade-offs between using pre-trained word embeddings and fine-tuning them on a specific task?
- Can we use techniques like back-translation or paraphrasing to increase the vocabulary size of a language model?
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