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Related Questions
- How do BERT's limitations on long-range dependencies impact its ability to capture complex contextual relationships in conversation dialogue systems?
- What are the implications of BERT's attention mechanism on its capacity to understand nuanced context and relationships in text dependency parsing?
- Can BERT's limitations on long-range dependencies be addressed through the use of hierarchical or multi-scale architectures in natural language processing tasks?
- How do the limitations of BERT's self-attention mechanism affect its ability to model long-range dependencies in tasks such as text summarization and question answering?
- What are the implications of BERT's limitations on long-range dependencies for its application in tasks that require understanding of complex temporal relationships, such as event extraction and temporal reasoning?
- Can BERT's limitations on long-range dependencies be mitigated through the use of external knowledge graphs or additional contextual information in tasks such as aspect-based sentiment analysis?
- What are the implications of BERT's limitations on long-range dependencies for its application in tasks that require understanding of nuanced context and relationships in specialized domains, such as law or medicine?
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