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Mathieu Dehouck

1 accepted papers

2020

Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages

COLING 2020main

The lack of annotated data is a big issue for building reliable NLP systems for most of the world’s languages. But this problem can be alleviated by automatic data generation. In this paper, we present a new data augmentation method for artificially creating new dependency-annotated sentences. The m…