Papers by Marc Canby

1 papers
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection (2023.findings-emnlp)

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Challenge: Existing encoder-decoders that generate sequences from left to right are prone to errors due to the "snowballing" effect.
Approach: They propose a transformer-based encoder-decoder framework that produces sequences from the "outside-in" they argue that this approach is more principled than prior bidirectional decoders .
Outcome: The proposed model beats the current system by over 4.7 and 2.7 points in accuracy on 2022 and 2023 tasks.

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