Persona:
Marco Remón, Guillermo

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gmarco@lsi.uned.es
ORCID
0000-0003-2455-6655
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Marco Remón
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Guillermo
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2021 - 20265
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Mostrando 1 - 5 de 5
  • Miniatura
    Publicación
    Understanding the Creative Writing Skills of Language Models
    (Universidad Nacional de Educación a Distancia (España). Escuela Internacional de Doctorado. Programa de Doctorado en Sistemas Inteligentes, 2026-02-23) Marco Remón, Guillermo; Gonzalo Arroyo, Julio Antonio
  • Miniatura
    Publicación
    The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing
    (Association for Computational Linguistics, 2025-01-01) Marco Remón, Guillermo; Gonzalo Arroyo, Julio Antonio; Fresno Fernández, Víctor Diego
    Recent studies comparing AI-generated and human-authored literary texts have produced conflicting results: some suggest AI already surpasses human quality, while others argue it still falls short. We start from the hypothesis that such divergences can be largely explained by genuine differences in how readers interpret and value literature, rather than by an intrinsic quality of the texts evaluated. Using five public datasets (1,471 stories, 101 annotators including critics, students, and lay readers), we (i) extract 17 reference-less textual features (e.g., coherence, emotional variance, average sentence length...); (ii) model individual reader preferences, deriving feature importance vectors that reflect their textual priorities; and (iii) analyze these vectors in a shared “preference space”. Reader vectors cluster into two profiles: _surface-focused readers_ (mainly non-experts), who prioritize readability and textual richness; and _holistic readers_ (mainly experts), who value thematic development, rhetorical variety, and sentiment dynamics. Our results quantitatively explain how measurements of literary quality are a function of how text features align with each reader’s preferences. These findings advocate for reader-sensitive evaluation frameworks in the field of creative text generation.
  • Miniatura
    Publicación
    Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
    (Association for Computational Linguistics, 2024-11-01) Marco Remón, Guillermo; Gonzalo Arroyo, Julio Antonio; Mateo-Girona, M. Teresa; Castillo Santos, Ramón José del; European Commission
    Are LLMs ready to compete in creative writing skills with a top (rather than average) novelist? To provide an initial answer for this question, we have carried out a contest between Patricio Pron (an awarded novelist, considered one of the best of his generation) and GPT-4 (one of the top performing LLMs), in the spirit of AIhuman duels such as DeepBlue vs Kasparov and AlphaGo vs Lee Sidol. We asked Pron and GPT-4 to provide thirty titles each, and then to write short stories for both their titles and their opponent’s. Then, we prepared an evaluation rubric inspired by Boden’s definition of creativity, and we collected several detailed expert assessments of the texts, provided by literature critics and scholars. The results of our experimentation indicate that LLMs are still far from challenging a top human creative writer. We also observed that GPT-4 writes more creatively using Pron’s titles than its own titles (which is an indication of the potential for human-machine co-creation). Additionally, we found that GPT-4 has a more creative writing style in English than in Spanish.
  • Miniatura
    Publicación
    Joaquín Sabina, el ingenio en verso: una exploración de las implicaciones humorísticas de su métrica poética
    (Universidad de Valladolid, 2025-07-04) Martínez Cantón, Clara Isabel; Marco Remón, Guillermo; Núñez Díaz, Pablo; Ministerio de Ciencia Innovación y Universidades
    El humor encuentra en las letras de Joaquín Sabina un terreno fértil y multifacético. Este estudio explora el papel de la métrica (versos, formas composicionales, rimas, encabalgamientos, etc.) en sus composiciones humorísticas, abordando cuestiones como: ¿se adhieren sus canciones más cómicas a metros o rimas específicos?, ¿existen rimas o encabalgamientos lúdicos?, ¿qué relación existe entre humor y métrica en su obra? A partir de un análisis manual de todo su corpus de canciones, se ha identificado un subcorpus centrado en las composiciones humorísticas. Posteriormente, mediante herramientas automatizadas para el análisis de la métrica, la rima y otras características formales del verso, como el encabalgamiento, se busca responder a estas preguntas. El objetivo es demostrar cómo la estructura poética contribuye de manera decisiva a la construcción del humor en las letras del cantautor ubetense.
  • Miniatura
    Publicación
    Automated metric analysis of Spanish Poetry: two complementary approaches
    (IEEE, 2021-03-30) Marco Remón, Guillermo; De la Rosa, Javier; Gonzalo Arroyo, Julio Antonio; Ros Muñoz, Salvador; González Blanco, Elena
    The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences and intentions of the author. In this paper, we explore two alternative algorithmic approaches tailored to different applications scenarios. The first approach, Rantanplan, is a rule-based method that consists of four Natural Language Processing modules that work together to perform scansion and other related analysis: Part of Speech tagging, syllabification, stress assignment, and metrical adjustment. The second approach, Jumper, explores the possibility of performing scansion without syllabification, with a twofold purpose: to minimize the errors propagated in different parts of the linguistic processing pipeline (including the syllabification step), and to improve the efficiency of the process. Both systems outperform the state of the art and provide either a more informative solution (suitable, for instance, for teaching purposes) or a more efficient processing (when a correct scansion is all the linguistic knowledge required, as in scholar philological studies). The combined use of both systems turns out to provide a practical tool to clean-up manual annotation errors in corpora.