Papers by Ilija Ilievski

1 papers
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation (2024.acl-long)

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Challenge: Empirical studies demonstrate that Araida reduces human correction labor by 11.02% compared to vanilla interactive data annotation methods.
Approach: They propose an analogical reasoning-based approach that enhances automatic annotation accuracy in the interactive data annotation setting and reduces the need for human corrections.
Outcome: Empirical studies show that Araida reduces human correction labor by 11.02% compared to vanilla interactive data annotation methods.

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