Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models

Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem Chernodub, Oleksandr Korniienko +1 more
4/23/2024
cs.CL

No official code found. Best implementation: grammarly/pillars-of-gec (32 stars, last commit 2024-04-27).

Abstract

In this paper, we carry out experimental research on Grammatical Error Correction, delving into the nuances of single-model systems, comparing the efficiency of ensembling and ranking methods, and exploring the application of large language models to GEC as single-model systems, as parts of ensembles, and as ranking methods. We set new state-of-the-art performance with F_0.5 scores of 72.8 on CoNLL-2014-test and 81.4 on BEA-test, respectively. To support further advancements in GEC and ensure the reproducibility of our research, we make our code, trained models, and systems' outputs publicly available.

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Code Implementations(1)

grammarly/pillars-of-gecCommunity100%

Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models

324Python, Macaulay2Apr 16, 20242 years ago

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Cite this paper

@article{omelianchuk2024pillars,
  title  = {Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models},
  author = {Kostiantyn Omelianchuk and Andrii Liubonko and Oleksandr Skurzhanskyi and Artem Chernodub and Oleksandr Korniienko and Igor Samokhin},
  year   = {2024},
  eprint = {2404.14914},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.14914v1}
}

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