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pro vyhledávání: '"Gonzalo, Julio"'
Autor:
Salido, Eva Sánchez, Morante, Roser, Gonzalo, Julio, Marco, Guillermo, Carrillo-de-Albornoz, Jorge, Plaza, Laura, Amigó, Enrique, Fernández, Andrés, Benito-Santos, Alejandro, Espinosa, Adrián Ghajari, Fresno, Victor
In this article we present UNED-ACCESS 2024, a bilingual dataset that consists of 1003 multiple-choice questions of university entrance level exams in Spanish and English. Questions are originally formulated in Spanish and translated manually into En
Externí odkaz:
http://arxiv.org/abs/2409.12746
In this paper, we evaluate the creative fiction writing abilities of a fine-tuned small language model (SLM), BART Large, and compare its performance to humans and two large language models (LLMs): GPT-3.5 and GPT-4o. Our evaluation consists of two e
Externí odkaz:
http://arxiv.org/abs/2409.11547
It has become routine to report research results where Large Language Models (LLMs) outperform average humans in a wide range of language-related tasks, and creative text writing is no exception. It seems natural, then, to raise the bid: Are LLMs rea
Externí odkaz:
http://arxiv.org/abs/2407.01119
Autor:
Remón, Guillermo Marco, Gonzalo, Julio
In recent years, several systems of automated metric analysis of Spanish poetry have emerged. These systems rely on complex methods of syllabification and stress assignment, which use PoS-tagging libraries, whose computational cost is high. This cost
Externí odkaz:
http://arxiv.org/abs/2012.12799
Publikováno v:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
In Ordinal Classification tasks, items have to be assigned to classes that have a relative ordering, such as positive, neutral, negative in sentiment analysis. Remarkably, the most popular evaluation metrics for ordinal classification tasks either ig
Externí odkaz:
http://arxiv.org/abs/2006.01245
Publikováno v:
Procesamiento del Lenguaje Natural; sep2024, Vol. 73, p347-358, 12p