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Related Questions
- What are some techniques for extending the fixed-size contextualization window to capture longer-range dependencies or nuances in language?
- How can we improve the contextualization window to better capture subtle relationships between words in a sentence?
- What are some strategies for incorporating external knowledge or world facts into the contextualization window?
- How can we use attention mechanisms to dynamically weight the importance of different words in the fixed-size contextualization window?
- What are some techniques for incorporating hierarchical or tree-like structures into the contextualization window?
- Can we use graph neural networks to extend the contextualization window and capture complex relationships between words?
- How can we use pre-training on large datasets with diverse linguistic structures to improve the contextualization window's ability to capture nuances in language?
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