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Related Questions
- How do transformer models handle out-of-vocabulary words in general?
- What strategies do transformer models employ to handle unknown words in a sentence or document?
- Are there any techniques to add new words to the model's vocabulary when it encounters an OOV word with long-range dependencies?
- How do transformer models adapt to unknown words with contextual information in long-range dependencies?
- Can transformer models learn to represent out-of-vocabulary words by leveraging the surrounding context in long-range dependencies?
- What are the common pitfalls when handling out-of-vocabulary words in transformer models with long-range dependencies?
- How do the attention mechanisms in transformer models help in handling out-of-vocabulary words with long-range dependencies?
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