1 code implementation • 23 Apr 2024 • Kostiantyn Omelianchuk, Andrii Liubonko, Oleksandr Skurzhanskyi, Artem Chernodub, Oleksandr Korniienko, Igor Samokhin
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.
1 code implementation • EACL (BEA) 2021 • Kostiantyn Omelianchuk, Vipul Raheja, Oleksandr Skurzhanskyi
Edit-based approaches have recently shown promising results on multiple monolingual sequence transduction tasks.
Ranked #1 on Text Simplification on PWKP / WikiSmall (SARI metric)
3 code implementations • WS 2020 • Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, Oleksandr Skurzhanskyi
In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder.
Ranked #7 on Grammatical Error Correction on BEA-2019 (test)