| dc.contributor.author | Sanz Valdivieso, Lucia | |
| dc.contributor.author | López Arroyo, María Belén | |
| dc.date.accessioned | 2026-05-05T20:42:18Z | |
| dc.date.available | 2026-05-05T20:42:18Z | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Rabadán Álvarez, Rosa & Ramón, Noelia (eds). Cross Linguístic Mediated Communication | es |
| dc.identifier.isbn | 978-3-0343-5100-3 (Print) | es |
| dc.identifier.uri | https://uvadoc.uva.es/handle/10324/84394 | |
| dc.description.abstract | 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 | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | eng | es |
| dc.publisher | Peter Lang | es |
| dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es |
| dc.subject | Lingüística aplicada | es |
| dc.title | Human vs. ChatGPT corpus annotation: Data augmentation using LLM fine-tuning. | es |
| dc.type | info:eu-repo/semantics/bookPart | es |
| dc.rights.holder | Peter Lang | es |
| dc.identifier.doi | 10.3726/b22833 | es |
| dc.relation.publisherversion | https://www.peterlang.com/search?searchstring=rabadán&display=25&page=0&field=fulltext&sort= | es |
| dc.description.project | 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) | es |
| dc.type.hasVersion | info:eu-repo/semantics/draft | es |
| dc.subject.unesco | 5701 Lingüística Aplicada | es |
