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oai:uvadoc.uva.es:10324/843942026-05-08T06:48:08Zcom_10324_1154com_10324_931com_10324_894col_10324_1291

Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning. Sanz Valdivieso, Lucia López Arroyo, María Belén Lingüística aplicada 5701 Lingüística Aplicada 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 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) 2026-05-05T20:42:18Z 2026-05-05T20:42:18Z 2025 info:eu-repo/semantics/bookPart info:eu-repo/semantics/draft Rabadán Álvarez, Rosa & Ramón, Noelia (eds). Cross Linguístic Mediated Communication 978-3-0343-5100-3 (Print) https://uvadoc.uva.es/handle/10324/84394 10.3726/b22833 eng https://www.peterlang.com/search?searchstring=rabadán&display=25&page=0&field=fulltext&sort= info:eu-repo/semantics/restrictedAccess Peter Lang application/pdf Peter Lang https://uvadoc.uva.es/bitstream/10324/84394/3/Primera%20p%c3%a1gina.pdf.jpg Hispana TEXT http://rightsstatements.org/vocab/CNE/1.0/ UVaDOC. Repositorio Documental de la Universidad de Valladolid https://uvadoc.uva.es/handle/10324/84394