Self-Supervised Contextual Data Augmentation for Natural Language Processing

In this paper, we propose a novel data augmentation method with respect to the target context of the data via self-supervised learning. Instead of looking for the exact synonyms of masked words, the proposed method finds words that can replace the original words considering the context. For self-sup...

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Bibliographic Details
Main Authors: Dongju Park, Chang Wook Ahn
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/11/1393