Biblio

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V. Francisco, Hervás, R., and Gervás, P., “Two Different Approaches to Automated Mark Up of Emotions in Text”, in AI-2006, Cambridge, England, 2006, pp. 101–114.PDF icon FranciscoEtAlAI2006.pdf (141.52 KB)
F. Peinado and Gervás, P., “Transferring Game Mastering Laws to Interactive Digital Storytelling”, in International Conference on Technologies for Interactive Digital Storytelling and Entertainment, Darmstadt, Germany, 2004.PDF icon 2004-peinado-transferring.pdf (125.92 KB)
M. Ballesteros, Herrera, J., Francisco, V., and Gervás, P., “Towards an N-Version Dependency Parser”, in Text, Speech and Dialogue, 13th International Conference, TSD 2010, Brno, Czech Republic, 2010, vol. 6231, pp. 43-50.PDF icon Ballesteros_et_al_TSD_2010.pdf (179.68 KB)
J. Herrera and Gervás, P., “Towards a Dependency Parser for Greek Using a Small Training Data Set”, Revista de la Asociación Española para el Procesamiento del Lenguaje Natural, vol. 41, p. 29--36, 2008.PDF icon dependency parser greek sepln 08.pdf (371.11 KB)
C. León and Gervás, P., “A Top-Down Design Methodology based on Causality and Chronology for Developing Assisted Story Generation Systems”, in 8th ACM conference on Creativity and cognition, Atlanta, Georgia, USA., 2011.PDF icon cc294-leon.pdf (127.2 KB)
C. León and Gervás, P., “A Top-Down Design Methodology based on Causality and Chronology for Developing Assisted Story Generation Systems”, in 8th ACM Conference on Creativity and Cognition, Atlanta, 2011.PDF icon cc294-leon.pdf (127.2 KB)
P. Gervás, “Tightening the Constraints on Form and Content for an Existing Computer Poet”, in AISB 2015 Symposium on Computational Creativity, University of Kent, Canterbury, United Kingdom, 2015.PDF icon AISB2015 Gervas CRC.pdf (122.26 KB)
A. Díaz and Gervás, P., “Three Information Filtering Applications on the Internet Driven by Linguistic Techniques ”, Revue Francaise de Linguistique Appliquée , vol. V, pp. 137-149, 2000.
M. Ballesteros, Bautista, S., and Gervás, P., “Text Simplification Using Dependency Parsing for Spanish”, in Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, 2010, pp. 330-335.PDF icon KDIR_2010_116_CR.pdf (838.75 KB)
S. Bautista, Hervás, R., and Gervás, P., “Text Simplification Focused on Numerical Expressions”, in Workshop on Rethinking Universal Accessibility- INTERACT 2013, Cape Town, South Africa, 2013.PDF icon rua13_CR.pdf (122.44 KB)
R. Hervás, Camara Pereira, F., Gervás, P., and Cardoso, A., “A Text Generation System that Uses Simple Rhetorical Figures”, Procesamiento de Lenguaje Natural, vol. 37, pp. 199-206, 2006.PDF icon HervasEtAlSEPLN06.pdf (134.97 KB)
F. Peinado, Navarro, A., and Gervás, P., “A Testbed Environment for Interactive Storytellers”, in 2nd International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN), Playa del Carmen, Cancun, Mexico, 2008.PDF icon 2008-peinado-testbed-PUBLISHED.pdf (545.97 KB)
P. Gervás, “Template-Free Construction of Poems with Thematic Cohesion and Enjambment”, in Computational Creativity in Language Generation (CC-NLG 2017) workshop, International Natural Language Generation Conference, Santiago de Compostela, Spain, 2017.PDF icon cc-nlg2017-Gervas-CRC.pdf (116.8 KB)
P. Gervás, “Targeted Storyfying: Creating Stories About Particular Events”, in Ninth International Conference on Computational Creativity, ICCC 2018, Salamanca, Spain, 2018.
S. Bautista, Hervás, R., Gervás, P., Bagó, A., and García-Ortiz, J., “Taking text simplification to the user: integrating automated modules into a web browser”, in The 8th International Conference on Software Development and Technologies for Enchancing Accessibility and Fighting Info-exclusion (DSAI 2018) , 2018.PDF icon BautistaEtAlDSAI18.pdf (1.03 MB)
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)