Papers by Gino Brunner

1 papers
Telling BERT’s Full Story: from Local Attention to Global Aggregation (2021.eacl-main)

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Challenge: Recent work discouraging the use of attention distributions for explaining a model’s behaviour suggests that attention distribution can provide insights into local behaviour of attention heads.
Approach: They propose a distinction between local patterns revealed by attention and global patterns that refer back to the input and analyze BERT from both angles.
Outcome: The proposed model can explain local behaviour of attention heads by comparing local and global patterns from both angles.

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