Fighting Evaluation Inflation: Concentrated Datasets for Grammatical Error Correction Task

Fighting Evaluation Inflation: Concentrated Datasets for Grammatical Error Correction Task

Background: Grammatical error correction (GEC) systems have greatly developed over the recent decade. According to common metrics, they often reach the level of or surpass human experts. Nevertheless, they perform poorly on several kinds of errors that are effortlessly corrected by humans. Thus, re...

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Bibliographic Details
Main Authors: Vladimir Starchenko, Darya Kharlamova, Elizaveta Klykova, Anastasia Shavrina, Aleksey Starchenko, Olga Vinogradova, Olga Lyashevskaya
Format: Article
Language:English
Published: National Research University Higher School of Economics 2024-12-01
Series:Journal of Language and Education
Subjects:
Grammatical error correction
L2 errors
ESL
concentrated datasets
cross-sentence GEC
Online Access:https://jle.hse.ru/article/view/22272
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