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Related Questions
- Can masked language modeling objectives improve a language model's ability to capture contextual relationships between words in a sentence?
- How does the choice of masking strategy, such as random or causal masking, affect a language model's ability to generalize to unseen text?
- Can masked language modeling objectives help a language model learn to predict word embeddings that capture semantic and syntactic information?
- How does the level of masking, such as whole-word or subword masking, impact a language model's ability to generalize to unseen text?
- Can masked language modeling objectives improve a language model's ability to perform well on tasks that require understanding of long-range dependencies?
- How does the training data size and complexity affect the ability of a masked language model to generalize to unseen text?
- Can masked language modeling objectives be combined with other objectives, such as next sentence prediction, to improve a language model's ability to generalize to unseen text?
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