Biblio

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P. Gervás, Hervás, R., and León, C., NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization, in Referring Expression Generation Challenge 2008, Proc. of the 5th International Natural Language Generation Conference (INLG'08), Ohio, USA, 2008.PDF icon HervasGervasGRE2008.pdf (41.29 KB)
R. Hervás and Gervás, P., NIL: Attribute Selection for Matching the Task Corpus Using Relative Attribute Groupings Obtained from the Test Data, in First NLG Challenge on Attribute Selection for Generating Referring Expressions (ASGRE), UCNLG+MT Workshop, Machine Translation Summit XI, Copenhagen, Denmark, 2007.PDF icon HervasGervasChallenge07.pdf (115.66 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 and León, C., The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process, in 2014 Workshop on Computational Models of Narrative, Quebec City, Canada, 2014.PDF icon cmn14.pdf (310.21 KB)
F. C. Pereira and Gervás, P., Natural Language Generation from Concept Blends, in AISB 03 Symposium on AI and Creativity in Arts and Science, 2003.PDF icon readingBlends.pdf (397.62 KB)
P. Gervás, Lönneker, B., Meister, J. C., and Peinado, F., Narrative Models: Narratology Meets Artificial Intelligence, in International Conference on Language Resources and Evaluation. Satellite Workshop: Toward Computational Models of Literary Analysis, Genova, Italy, 2006, pp. 44-51.PDF icon 2006-gervas-narrative.pdf (165.22 KB)
P. Gervás, Narrative Discourse as a Target Format for Data to Text Generation, in 1st International Workshop on Data-to-Text Generation, Edimburgh, 2015.PDF icon data2text2015GervasCRC.pdf (74.43 KB)
P. Gervás, Narrative Composition: Achieving the Perceived Linearity of Narrative, in Proceedings of the 14th European Workshop on Natural Language Generation, Sofia, Bulgaria, 2013.PDF icon GervasENLG2013.pdf (61.22 KB)
M
H. G. Oliveira, Hervás, R., Díaz, A., and Gervás, P., Multilingual extension and evaluation of a poetry generator, Natural Language Engineering, pp. 1–39, 2017.PDF icon multilingual_poetry.pdf (603.12 KB)
F. Camara Pereira, Hervás, R., Gervás, P., and Cardoso, A., A Multiagent Text Generator with Simple Rhetorical Habilities, in Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness (Workshop from AAAI-06), Boston, USA, 2006, pp. 37-44.PDF icon CABH06.pdf (169.49 KB)
P. Gervás and Murciano, R., Modelling the Generation of Customised Poetry in JESS, in Proceedings of the Third International Conference on Enterprise Information Systems, 2001, pp. 543-552.
P. Gervás, Modeling Literary Style for Semi-automatic Generation of Poetry, in User Modeling 2001, 8th International Conference, Sonthofen, Germany, 2001, pp. 231-233.
A. Díaz and Gervás, P., Modelado dinámico de usuario en un sistema de personalización de contenidos Web, CAEPIA-TTIA 2003 , vol. Volumen II. pp. 45-54, 2003.PDF icon Diaz&Gervas 2003 (CAEPIA).pdf (207.12 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, A Model of Interpretation of Embedded Stories, in Text2Story: 4th International Workshop on Narrative Extraction from Texts, Lucca, Tuscany, 2021.PDF icon Text2Story2021-paper11-rev.pdf (234.02 KB)
M. Wilder and Gervás, P., A Model of Character Evolution based on Stanislavsky-driven BDI Agents, in 6th International Workshop on Computational Creativity, Concept Invention, and General Intelligence, Madrid, Spain, 2017.PDF icon C3GI_2017_paper_12.pdf (389.34 KB)
G. Méndez, Gervás, P., and León, C., A Model of Character Affinity for Agent-Based Story Generation, in 9th International Conference on Knowledge, Information and Creativity Support Systems, Limassol, Cyprus, 2014.PDF icon MendezGervasLeon-kicss2014.pdf (345.73 KB)
D. Dionne, de la Puente, S., León, C., Hervás, R., and Gervás, P., A Model for Human Readable Instruction Generation Using Level-Based Discourse Planning and Dynamic Inference of Attributes Disambiguation, in 12th European Workshop on Natural Language Generation, Athens, Greece, 2009.PDF icon nlgenvironment.pdf (1.89 MB)
C. León, Hassan, S., Gervás, P., and Pavón, J., Mixed Narrative and Dialog Content Planning Based on BDI Agents, in XII Conferencia de la Asociación Española para Inteligencia Artificial, Salamanca, Spain, 2007.PDF icon caepia07.pdf (148.32 KB)
F. Peinado and Gervás, P., Minstrel Reloaded: From the Magic of Lisp to the Formal Semantics of OWL, in 3rd International Conference on Technologies for Interactive Digital Storytelling and Entertainment (TIDSE), Darmstadt, Germany, 2006, vol. 4326, pp. 93-97.PDF icon 2006-peinado-minstrel.pdf (84.98 KB)
E. Concepción, Gervás, P., and Méndez, G., Mining Knowledge in Storytelling Systems for Narrative Generation, in CC-NLG: Computational Creativity in Natural Language Generation (@INLG2016), Edimburgh, UK, 2016.PDF icon Concepcionetal-CC-NLG.pdf (151.21 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)
E. Concepción, Gervás, P., and Méndez, G., A microservice-based architecture for story generation, in Microservices, Odense, Denmark, 2017.PDF icon ConcepcionEtAl-Microservices2017.pdf (150.21 KB)
P. Gervás, Metrics for Desired Structural Features for Narrative Renderings of Game Logs, Journal of Entertainment Computing, 2014.
J. Luis López-Calle, Gervás, P., and Fernández-Muñoz, C., A Methodology for the Annotation of Narrative Structures in Films, Communication & Methods, vol. 5, p. 91--107, 2023.PDF icon 182-Article Text-927-1-10-20230525.pdf (149.44 KB)

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