Work

Is linguistically-motivated data augmentation worth it?

Year: 2025

Type: conference-paper

Abstract: Data augmentation, a widely-employed technique for addressing data scarcity, involves generating synthetic data examples which are then used to augment available training data.Re-

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.1307

Authors: Ray Groshan, Michael Ginn, Alexis Palmer

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, University of Colorado Boulder

Awards: CAREER: From One Language to Another, G6671297155

OpenAlex ID: W4412889907

FWCI: 0.988

Cites:

Cited by: 1

Related to: 10