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arXiv · 2001.03521

Towards Minimal Supervision BERT-based Grammar Error Correction

Yiyuan Li·Antonios Anastasopoulos·Alan W Black
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Abstract

Current grammatical error correction (GEC) models typically consider the task as sequence generation, which requires large amounts of annotated data and limit the applications in data-limited settings. We try to incorporate contextual information from pre-trained language model to leverage annotation and benefit multilingual scenarios. Results show strong potential of Bidirectional Encoder Representations from Transformers (BERT) in grammatical error correction task.

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Yiyuan Li, Antonios Anastasopoulos, Alan W Black. 2020-01-10. Towards Minimal Supervision BERT-based Grammar Error Correction. https://arxiv.org/abs/2001.03521

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