Uncovering the Risks and Drawbacks Associated With the Use of Synthetic Data for Grammatical Error Correction-Reference-Cited by-同舟云学术

Uncovering the Risks and Drawbacks Associated With the Use of Synthetic Data for Grammatical Error Correction

Author:

Koo Seonmin¹,Park Chanjun¹^ORCID,Lee Seolhwa²^ORCID,Seo Jaehyung¹^ORCID,Eo Sugyeong¹^ORCID,Moon Hyeonseok¹^ORCID,Lim Heuiseok¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, Seoul, South Korea

2. Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany

Funder

MSIT (Ministry of Science and ICT), Korea, under the ITRC

IITP

Institute of Information & communications Technology Planning & Evaluation

Korea government

A Neural-Symbolic Model for Knowledge Acquisition and Inference Techniques)

Technology development Program

Ministry of SMEs and Startups

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference49 articles.

1. ZeroShotDataAug: Generating and augmenting training data with ChatGPT;ubani;arXiv 2304 14334,2023

2. LaMDA: Language models for dialog applications;thoppilan;arXiv 2201 08239,2022

3. How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus;park;arXiv 2111 00191,2021

4. What can data-centric AI learn from data and ML engineering?;polyzotis;arXiv 2112 06439,2021

5. Language models are few-shot learners;brown;Proc Adv Neural Inf Process Syst,2020

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