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DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks

132 Citations2020
Bosheng Ding, Linlin Liu, Lidong Bing
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To generate high quality synthetic data for low-resource tagging tasks, a novel augmentation method with language models trained on the linearized labeled sentences is proposed that can consistently outperform the baselines.

Abstract

Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq Joty, Luo Si, Chunyan Miao. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.

DAGA: Data Augmentation with a Generation Approach for Low-r