Papers with task-agnostic augmentations

1 papers
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability (2021.acl-long)

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Challenge: In-domain experts are recruited to reannotate augmented samples and determine to what extent each strategy preserves the original rating.
Approach: They implement 7 different data augmentation strategies for the task of automatic scoring of children’s ability to understand others’ thoughts, feelings, and desires.
Outcome: The data augmentation strategies outperform task-agnostic augmentations and automatic augmentation systems perform worst on the MIND-CA corpus.

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