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ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction. (arXiv:2112.08466v2 [cs.CL] UPDATED)
Web: http://arxiv.org/abs/2112.08466
May 5, 2022, 1:11 a.m. | Xun Yuan, Derek Pham, Sam Davidson, Zhou Yu
cs.CL updates on arXiv.org arxiv.org
Currently available grammatical error correction (GEC) datasets are compiled
using well-formed written text, limiting the applicability of these datasets to
other domains such as informal writing and dialog. In this paper, we present a
novel parallel GEC dataset drawn from open-domain chatbot conversations; this
dataset is, to our knowledge, the first GEC dataset targeted to a
conversational setting. To demonstrate the utility of the dataset, we use our
annotated data to fine-tune a state-of-the-art GEC model, resulting in a 16 …
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