Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/84394
Título
Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning.
Año del Documento
2025
Editorial
Peter Lang
Documento Fuente
Rabadán Álvarez, Rosa & Ramón, Noelia (eds). Cross Linguístic Mediated Communication
Résumé
In this chapter, we explore the potential of Pretrained Large Language
Models (PTMs) to serve as research and data enhancement tools towards
the future development of multilingual text production applications.
We aim to test ChatGPT’s ability to provide automatically annotated
high-quality data compared to human manual annotation
Materias (normalizadas)
Lingüística aplicada
Materias Unesco
5701 Lingüística Aplicada
ISBN
978-3-0343-5100-3 (Print)
DOI
Patrocinador
This publication has been funded by the Spanish Ministry for Science and Innovation (Grant PID2020-114064RB-I00 funded by Ministerio de Ciencia e Innovación-MCIN/ AEI//10.13039/501100011033)
Version del Editor
Propietario de los Derechos
Peter Lang
Idioma
eng
Tipo de versión
info:eu-repo/semantics/draft
Derechos
restrictedAccess
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