The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction

4 June 2019

Papers citing "The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction"

6 / 6 papers shown

Title
Toward autocorrection of chemical process flowsheets using large language models Lukas Schulze Balhorn Marc Caballero Artur M. Schweidtmann AI4CE 26 3 0 05 Dec 2023
Towards Effective Paraphrasing for Information Disguise Anmol Agarwal Shrey Gupta Vamshi Krishna Bonagiri Manas Gaur Joseph M. Reagle Ponnurangam Kumaraguru 40 3 0 08 Nov 2023
Grammatical Error Correction: A Survey of the State of the Art Christopher Bryant Zheng Yuan Muhammad Reza Qorib Hannan Cao Hwee Tou Ng Ted Briscoe 3DV 29 79 0 09 Nov 2022
Automatic Document Sketching: Generating Drafts from Analogous Texts Zeqiu Wu Michel Galley Chris Brockett Yizhe Zhang Bill Dolan 52 5 0 14 Jun 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task Marcin Junczys-Dowmunt Roman Grundkiewicz Shubha Guha Kenneth Heafield 33 192 0 16 Apr 2018