Biblio

Export 9 results:
[ Author(Desc)] Title Type Year
Filters: First Letter Of Title is C and Author is Pablo Gervás  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
P. Gervás, Computational Approaches to Storytelling and Creativity, AI Magazine, vol. 30, pp. 49-62, 2009.PDF icon 2101.pdf (3.82 MB)
P. Gervás, Computational Modelling of Poetry Generation, in Artificial Intelligence and Poetry Symposium, AISB Convention 2013, University of Exeter, United Kingdom, 2013.PDF icon GervasAISB2013CRC.pdf (118.38 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, Composing Narrative Discourse for Stories of Many Characters: a Case Study over a Chess Game, Literary and Linguistic Computing, vol. 29, 2014.
P. Gervás, Computational Drafting of Plot Structures for Russian Folk Tales, Cognitive Computation, 2015.
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, Constrained Creation of Poetic Forms During Theme-Driven Exploration of a Domain Defined by an N-gram Model, Connection Science, 2016.PDF icon Constrained creation of poetic forms during theme driven exploration of a domain defined by an N gram model.pdf (1.8 MB)
P. Gervás, Comparative Evaluation of Elementary Plot Generation Procedures, in 6th International Workshop on Computational Creativity, Concept Invention, and General Intelligence, Madrid, Spain, 2017.PDF icon c3gi2017GervasCRC.pdf (290.95 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.