Biblio

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G
P. Gervás, Propp’s Morphology of the Folk Tale as a Grammar for Generation, in Workshop on Computational Models of Narrative, a satellite workshop of CogSci 2013: The 35th meeting of the Cognitive Science Society, Universität Hamburg Hamburg, Germany, 2013.PDF icon ProppCMN2013 CRC.pdf (389.24 KB)
P. Gervás, Pérez y Pérez, R., Sosa, R., and Lemaitre, C., On the Fly Collaborative Story-Telling: Revising Contributions to Match a Shared Partial Story Line., in International Joint Workshop on Computational Creativity, London, 2007.PDF icon ColaborativeStoryTelling.pdf (245.05 KB)
P. Gervás, Méndez, G., and Concepción, E., Evolutionary Combination of Subplot Patterns into Meaningful Plots, Researchsquare (preprint) - Genetic Programming and Evolvable Machines, 2023.PDF icon v1_covered.pdf (571.22 KB)
P. Gervás, UCM Submission to the Surface Realization Challenge, in Surface Realization Challenge. Challenges 2011 Session at 13th European Workshop on Natural Language Generation (ENLG 2011), Nancy, France, 2011.PDF icon UCM-SRTask.pdf (63.11 KB)
P. Gervás, Empirical Determination of Basic Heuristics for Narrative Content Planning, in Proceedings of Computational Creativity and Natural Language Generation Workshop, International Conference on Natural Language Generation (INLG 2016), Edimburgh, Scotland, 2016.PDF icon CC-INLG2016Gervas-CRC.pdf (269.25 KB)
P. Gervás, Linguistic Creativity at Different Levels of Decision in Sentence Production, in AISB 02 Symposium on AI and Creativity is Arts and Science, Imperial College, London, 2002, pp. 79-88.PDF icon linguistic.pdf (161.53 KB)
P. Gervás, Concepción, E., and Méndez, G., Evolutionary Construction of Stories that Combine Several Plot Lines, in Computational Intelligence in Music, Sound, Art and Design – 11th International Conference, EvoMUSART 2022, Madrid, Spain, 2022.PDF icon Gervas.pdf (251.45 KB)
P. Gervás, N-Gram-Driven Word Level Recombination: Exploring a Search Space of Metrically Valid Verse, in Computational Stylistics in Poetry, Prose, and Drama, Berlin, Boston: De Gruyter, 2022.
P. Gervás, Deconstructing Computer Poets: Making Selected Processes Available as Services, Computational Intelligence, 2015.PDF icon Gerv-s-2017-Computational_Intelligence.pdf (253.11 KB)
P. Gervás, Corpus Annotation for Narrative Generation Research: A Wish List, in First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts Satellite event of the Supporting the Digital Humanities Conference (SDH-2010), Vienna, Austria, 2010.PDF icon pablo_gervas_ea.pdf (248.9 KB)
P. Gervás and León, C., Corregir e innovar corrigiendo: modelos de creatividad literaria como ciclo de reflexión-revisión, in Creatividad Computacional, Pérez y Pérez R. (Ed.)., México D. F: UAM-Cuajimalpa-Patria, 2015.
P. Gervás, Engineering Linguistic Creativity: Bird Flight and Jet Planes, in NAACL HLT 2010 Second Workshop on Computational Approaches to Linguistic Creativity, Los Angeles, 2010.
P. Gervás, Reviewing Propp's Story Generation Procedure in the Light of Computational Creativity, in AISB Symposium on Computational Creativity, AISB-2014, April 1-4 2014, Goldsmiths, London, UK, 2014.PDF icon PropperAISB2014_CRC.pdf (125.3 KB)
P. Gervás, Storifying Observed Events: Could I Dress This Up as a Story?, in 5th AISB Symposium on Computational Creativity, University of Liverpool, UK, 2018.PDF icon Gervas-AISB2008-CRC.pdf (141.13 KB)
P. Gervás, Modelado automático de procesos creativos: ¿hasta dónde se puede llegar?, in El arte de educar creativamente. Reflexiones para una educación artística contemporánea., P. Tudela Caño and García, P. Paraja Santa Cruz de Tenerife: TEA Tenerife Espacio Escénico de las Artes, 2019, p. 227--239.
P. Gervás, Evolutionary Stitching of Plot Units with Character Threads, in WIVACE 2022 XVI International Workshop on Artificial Life and Evolutionary Computation , 2022.
P. Gervás, Composing Narrative Discourse for Stories of Many Characters: a Case Study over a Chess Game, Literary and Linguistic Computing, vol. 29, 2014.
P. Gervás, Modeling Literary Style for Semi-automatic Generation of Poetry, in User Modeling 2001, 8th International Conference, Sonthofen, Germany, 2001, pp. 231-233.
P. Gervás, Concepción, E., León, C., Méndez, G., and Delatorre, P., The Long Path to Narrative Generation, IBM Journal of Research & Development, vol. 63, pp. 1-8, 2019.PDF icon Gervasetal2019LongPathNarrativeGeneration.pdf (596.84 KB)
P. Gervás, Hervás, R., and Recio-García, J. A., The Role of Natural Language Generation During Adaptation in Textual CBR, in Workshop on Textual Case-Based Reasoning: Beyond Retrieval, dentro de 7th International Conference on Case-Based Reasoning (ICCBR’07), Northern Ireland, 2007, pp. 227–235.PDF icon GervasEtAlTCBR07.pdf (107.87 KB)
P. Gervás and León, C., When Reflective Feedback Triggers Goal Revision: a Computational Model for Literary Creativity, in AI and Feedback, IJCAI 2015, Buenos Aires, 2015.PDF icon AInF2015paper5_crc.pdf (812.75 KB)
P. Gervás, de Antonio, A., and Amores, G., MILES (Modelos de Interacción centrados en Lenguaje, Espacio y Semántica computacional), in Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN 2012), Castellón, Spain, 2012.PDF icon milesARTsepln CRC.pdf (145.78 KB)
P. Gervás, An Exploratory Model of Remembering, Telling and Understanding Experience in Simple Agents, in Proceedings of Computational Creativity, Concept Invention, and General Intelligence Workshop (C3GI 2016), Bolzano, Italy, 2016.PDF icon c3gi2016GervasCRC.pdf (197.19 KB)
P. Gervás and Méndez, G., Tagging Narrative with Propp's Character Functions Using Large Language Models, in Seventh International Workshop on Narrative Extraction from Texts (Text2Story 2024), Glasgow, Scotland, 2024.PDF icon Automated_Tagging_of_Narrative_Synopses_with_Proppian_Character_Functions.pdf (580.88 KB)
P. Gervás, Computational Models of Narrative Creativity, in Artificial Intelligence and the Arts: Computational Creativity, Artistic Behavior, and Tools for Creatives, P. Machado, Romero, J., and Greenfield, G. Cham: Springer International Publishing, 2021, pp. 209–255.

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