Biblio

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[ Author(Desc)] Title Type Year
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H
R. Hervás and Gervás, P., “An Evolutionary Approach to Referring Expression Generation and Aggregation”, in 10th European Workshop on Natural Language Generation (ENLG'05), Aberdeen, England, 2005, pp. 168-173.PDF icon HervasGervasEWNLG05.pdf (112.67 KB)
R. Hervás, Bautista, S., Méndez, G., Galván, P., and Gervás, P., “Predictive Composition of Pictogram Messages for Users with Autism”, Journal of Ambient Intelligence and Humanized Computing, 2020.
R. Hervás and Gervás, P., “Case-Based Reasoning for Knowledge-Intensive Template Selection During Text Generation”, in 8th European Conference on Case-Based Reasoning (ECCBR-06), Fethiye, Turquía, 2006, vol. 4106, pp. 151-165.PDF icon HervasGervasECCBR06.pdf (150.13 KB)
R. Hervás and Gervás, P., “Descripción de Entidades y Generación de Expresiones de Referencia en la Generación Automática de Discurso”, Procesamiento de Lenguaje Natural, vol. 41, pp. 217-224, 2008.PDF icon HervasGervasSEPLN08.pdf (117.34 KB)
R. Hervás and Gervás, P., “Degree of Abstraction in Referring Expression Generation and its Relation with the Construction of the Contrast Set”, Fifth International Natural Language Generation Conference (INLG'08). Ohio, USA, pp. 161-164, 2008.PDF icon HervasGervasINLG08CRC.pdf (72.69 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)
R. Hervás and Finlayson, M., “The Prevalence of Descriptive Referring Expressions in News and Narrative”, in 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Uppsala, Sweden, 2010.PDF icon HervasFinlaysonACL10.pdf (54.33 KB)
R. Hervás, Francisco, V., and Gervás, P., “Assessing the influence of personal preferences on the choice of vocabulary for natural language generation”, Information Processing and Management, vol. 49, 2013.PDF icon HervasEtAlIPM13.pdf (1.76 MB)
R. Hervás, “Referring Expressions and Rhetorical Figures for Entity Distinction and Description in Automatically Generated Discourses (extended summary in English)”, UCM, 2009.PDF icon HervasPhDTesis.pdf (1007.87 KB)
R. Hervás and Gervás, P., “Applying Genetic Algorithms to Referring Expression Generation and Aggregation”, in 10th International Conference on Computer Aided Systems Theory (EUROCAST), Spain, 2005, pp. 145-149.PDF icon HervasGervasEUROCAST05.pdf (93.37 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)
R. Hervás, Costa, R., Costa, H., Gervás, P., and Camara Pereira, F., “Enrichment of Automatically Generated Texts using Metaphor”, in 6th Mexican International Conference on Artificial Intelligence (MICAI-07), Aguascalientes, Mexico, 2007, vol. 4827, pp. 944–954.PDF icon HervasEtAlMICAI07.pdf (110.95 KB)
R. Hervás, “Expresiones de Referencia y Figuras Retóricas para la Distinción y Descripción de Entidades en Discursos Generados Automáticamente (Spanish version)”, UCM, 2009.PDF icon HervasTesis.pdf (2.22 MB)
R. Hervás and Gervás, P., “Case Retrieval Nets for Heuristic Lexicalization in Natural Language Generation”, in 12th Portuguese Conference on Artificial Intelligence (EPIA 05), Spain, 2005, vol. 3808, pp. 55-66.PDF icon HervasGervasEPIA05.pdf (141.76 KB)
I
M. López Ibáñez, Romero-Hernandez, A., Manero, B., and Guijarro, M., “Computer Entertainment Technologies for the Visually Impaired: An Overview”, 2020.
R. Imbert, Sánchez, L., de Antonio, A., Méndez, G., and Ramírez, J., “A multiagent extension for virtual reality based intelligent tutoring systems”, in Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on, 2007, pp. 82–84.PDF icon ICALT'07-Imbertetal-MAEVIFStructure.pdf (581.48 KB)
J
J. Jerónimo, de Antonio, A., Méndez, G., and Ramírez, J., “Design of a model of human interaction in virtual environments”, in Computer-Aided Design of User Interfaces VI, Springer, 2009, pp. 89–101.PDF icon CameraReadyCADUI2008.pdf (352.69 KB)
A. J. Jimeno-Yepes, Plaza, L., Mork, J. G., Aronson, A., and Díaz, A., “MeSH indexing based on automatically generated summaries”, BMC bioinformatics, vol. 14, 2013.
J. Luis Jorro-Aragoneses and Bautista, S., “Adaptation Process in Context-Aware Recommender System of Accessible Tourism Plan”, in 1st International Workshop on Knowledge Graphs on Travel and Tourism , 2018.
F. Julca, Méndez, G., and Hervás, R., “An Internal Model for Characters in Virtual Environments”, in Virtual Reality Designs, 1stst ed., Boca Raton: CRC Press, 2020.PDF icon GMendezetal_Corregido.pdf (6.36 MB)
K
P. Kalluri and Gervás, P., “Affinity-based Interpretation of Triangle Social Scenarios”, in Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,, 2017.PDF icon ICAART_2017_121.pdf (173.17 KB)
H. Kerras, Bautista, S., and Gómez, M. D. de- Migu, “Technology, rurality and gender… false friends, but not enemies! ”, Outlook on Agriculture, 2022.
L
I. M. Laclaustra, Ledesma, J. L., Méndez, G., and Gervás, P., “Kill the Dragon and Rescue the Princess: Designing a Plan-Based Multi-agent Story Generator”, in 5th International Conference on Computational Creativity, ICCC 2014 (Late Breaking paper), Ljubljana, Slovenia, 2014.PDF icon MendezGervasICCC2014.pdf (91.5 KB)
P. Lendvai, Declerck, T., Darányi, S., Gervás, P., Hervás, R., Malec, S., and Peinado, F., “Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case”, in Seventh conference on International Language Resources and Evaluation (LREC'10), La Valetta, Malta, 2010.PDF icon 654_Paper.pdf (1.25 MB)
C. León, Gervás, P., Delatorre, P., and Tapscott, A., “Quantitative Characteristics of Human‑Written Short Stories as a Metric for Automated Storytelling”, New Generation Computing, vol. 38, 2020.

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