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Conference Paper
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)
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, 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)
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 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)
M. Miranda, Sánchez-Ruiz, A., and Peinado, F., A Neuroevolution Approach to Imitating Human-Like Play in Ms. Pac-Man Video Game, in Congreso de la Sociedad Española para las Ciencias del Videojuego, Barcelona, España, 2016.
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)
B. Bokharaeian and Díaz, A., NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels, in Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), Atlanta, Georgia, USA., 2013.
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)