Papers with data augmentation protocol
Exploring Text Recombination for Automatic Narrative Level Detection (2022.lrec-1)
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| Challenge: | Existing annotation workflows do not scale well to the annotation of complex narrative phenomena. |
| Approach: | They propose a workflow for narrative level detection that includes operationalization and a model . they propose generating training data synthetically to improve the prediction results . |
| Outcome: | The proposed workflow improves predictions by using training data synthetically. |
Good-Enough Example Extrapolation (2021.emnlp-main)
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| Challenge: | GE3 is a data augmentation protocol that can be used to increase text examples from one class onto another. |
| Approach: | They propose a data augmentation protocol that extrapolates the hidden space distribution of text examples from one class onto another to investigate whether this bias is valid for data augmented. |
| Outcome: | The proposed protocol improves on three text classification datasets for various data imbalance scenarios. |