Papers by Robert Turko

1 papers
Dodrio: Exploring Transformer Models with Interactive Visualization (2021.acl-demo)

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Challenge: Recent research suggests the key may lie in multi-headed attention mechanism’s ability to learn and represent linguistic information.
Approach: They present an open-source visualization tool to analyze attention mechanisms in transformer-based models with linguistic knowledge.
Outcome: Dodrio analyzes attention mechanisms in transformer-based models with linguistic knowledge.

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