Papers by Ruyue Hong

1 papers
Deep Inside-outside Recursive Autoencoder with All-span Objective (2020.coling-main)

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Challenge: Existing neural approaches for constituency parsing are limited for low-resource languages and domains.
Approach: They extend the training objective of DIORA by making use of all spans instead of only leaf-level spans.
Outcome: The proposed model improves on two languages and provides better parsing accuracy than the original model.

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