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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/11/1393 |