Generative AI models have shown remarkable capabilities in creating diverse content, including text, image, and voice. However, Large Language Models often struggle to maintain thematic consistency and structure when used for narrative generation, especially when creating longer and more complex stories. When generative AI aims at producing high-quality narratives, having mechanisms to guide the creative process and ensure thematic consistency is crucial. This project explores new methods to guide the generation of narratives using AI, by incorporating narrative patterns, genre structures, and semiotic relations, to improve the overall quality and coherence of the generated stories.
Status:
Contributions:
- Introduced a new approach to interactive narrative generation based on semiotic relations and large language models, enabling the creation of new narratives from existing ones through combination, imitation, expansion, and reversal.
- Proposed the use of narrative patterns, derived from folklore and literary traditions, as well as genre structures, to guide the generation of thematically consistent and coherent stories using large language models.
Publications:
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Edirlei Soares de Lima; Margot M.E. Neggers; Bruno Feijó; Marco A. Casanova; Antonio L. Furtado. An AI-powered Approach to the Semiotic Reconstruction of Narratives. Entertainment Computing, Volume 52, January 2025, 100810. [DOI]
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Edirlei Soares de Lima; Marco A. Casanova; Antonio L. Furtado. Imagining from Images with an AI Storytelling Tool. arXiv:2408.11517 [cs.CL], August 2024. [DOI]
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Edirlei Soares de Lima, Margot M. E. Neggers, Antonio L. Furtado. Multigenre AI-powered Story Composition. arXiv:2405.06685 [cs.CL], May 2024. [DOI]
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Victor Schetinger; Dafne Reis Pedroso da Silva; Sara Di Bartolomeo; Edirlei Soares de Lima; Christofer Meinecke; Rudolf Rosa. Macunaíma, AI Parrot, Solves Crimes in Prague: Towards Pattern Visualization in Generative AI Model Narratives. Revista GEMInIS, vol. 14 (3), pp. 21-37, 2024. [DOI] [PDF]
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Edirlei Soares de Lima; Marco A. Casanova; Bruno Feijo; Antonio L. Furtado. Semiotic Structuring in Movie Narrative Generation. 22nd IFIP International Conference on Entertainment Computing (ICEC 2023), Bologna, Italy. Lecture Notes in Computer Science, vol. 14455, pp. 161-175, 2023. [DOI] [PDF]
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Edirlei Soares de Lima; Bruno Feijo; Marco A. Casanova; Antonio L. Furtado. ChatGeppetto - an AI-powered Storyteller. Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment (SBGames '23), Rio Grande, Brazil, pp. 28-37, 2023. [Best Paper Award] [DOI] [PDF] -
Victor Schetinger, Sara Di Bartolomeo, Edirlei Soares de Lima, Christofer Meinecke, Rudolf Rosa. n Walks in the Fictional Woods. arXiv:2308.06266 [cs.HC], August 2023. [DOI]