Biblio

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E
M. Ballesteros, Herrera, J., Francisco, V., and Gervás, P., Enhancing Dependency Analysis by Combining Specific Dependency Parsers, in Artificial Intelligence and Hybrid Systems, IConcept Press. In press., 2012.PDF icon document.pdf (620.25 KB)
P. Gutiérrez Merino, Suárez, G. Eugercios, Popova, E. Kaloyanova, Francisco, V., and Hervás, R., EmoTraductor: Análisis Emocional para la Inclusión Digital, in IV Congreso Internacional Universidad y Discapacidad (CIUD 2018), Madrid, Spain, 2018.PDF icon EmoTraductor-CIUD2018.pdf (321.42 KB)
V. Francisco, Hervás, R., Peinado, F., and Gervás, P., EmoTales: creating a corpus of folk tales with emotional annotations, Language Resources and Evaluation, vol. 45, 2011.PDF icon LRE_FranciscoGervasPeinadoGervas_2011.pdf (647.7 KB)
V. Francisco and Hervás, R., EmoTag: Automated Mark Up of Affective Information in Texts, in EUROLAN 2007 Summer School Doctoral Consortium, Iasi, Romania, 2007, pp. 5–12.PDF icon FranciscoHervasDCEUROLAN2007.pdf (112.02 KB)
V. Francisco and Gervás, P., EmoTag: An Approach to Automated Markup of Emotions in Texts, Computational Intelligence, 2012.PDF icon FranciscoGervasCI.pdf (631.32 KB)
V. Francisco, M. Espinosa, G., and Moreno-Ger, P., El impacto del diseño de actividades en el plagio de Internet en educación superior, Comunicar, vol. XXIV, p. 48, 2016.PDF icon Comunicar2016.pdf (554.81 KB)
D
V. Francisco, Gervás, P., and Hervás, R., Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG, in Computational Linguistics and Intelligent Text Processing (CICLing 2007), Mexico City, Mexico, 2007.PDF icon FranciscoEtAlCICLing2007.pdf (130.78 KB)
A
K. Monteith, Francisco, V., Martinez, T., Gervás, P., and Ventura, D., Automatic Generation of Emotionally-Targeted Soundtracks, in Second International Conference on Computational Creativity, México City, México, 2011.PDF icon monteith_iccc11.pdf (981.04 KB)
V. Francisco and Gervás, P., Automated Mark Up of Affective Information in English Texts, in Text, Speech and Dialogue (TSD 2006), Brno, Czech Republic, 2006, pp. 375–382.PDF icon FranciscoGervasTSD2006.pdf (112.61 KB)
V. Francisco, Hervás, R., and Gervás, P., Automated Knowledge Acquisition in Case-Based Text Generation, in 8th European Conference on Case-Based Reasoning, Fethiye, Turkey, 2006, pp. 68–77.PDF icon FranciscoEtAlTCBR2006.pdf (128.34 KB)
A. Díaz, Plaza, L., Francisco, V., Gervás, P., Mota, E., and Romero, A., AutoIndexer: Investigación y Desarrollo de Metodologías y Recursos Terminológicos de Apoyo para los Procesos de Indexación Automática de Documentos Clínicos, in XXVII Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN 2011), 2011.PDF icon SEPLN2011.pdf (179.74 KB)
F. Peinado, Francisco, V., Hervás, R., and Gervás, P., Assessing the Novelty of Computer-Generated Narratives using Empirical Metrics, MINDS AND MACHINES, vol. 20, p. 588, 2010.PDF icon M&M_PeinadoFranciscoHervasGervas_2010.pdf (240 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)
M. Ballesteros, Herrera, J., Francisco, V., and Gervás, P., Are the existing training corpora unnecessarily large?, SEPLN Journal Nº48, 2012.PDF icon sepln_v1_mbm_unnecesarily.pdf (523.6 KB)
M. Ballesteros, Herrera, J., Francisco, V., and Gervás, P., Analyzing the CoNLL-X Shared Task from a Sentence Accuracy Perspective, SEPLN Journal Nº48, 2012.PDF icon sepln_v1_mbm.pdf (226.29 KB)
V. Francisco, Gervás, P., and Hervás, R., Análisis y síntesis de expresión emocional en cuentos leídos en voz alta, Sociedad Española para el Procesamiento del Lenguaje Natural, vol. 35, pp. 293–300, 2005.PDF icon FranciscoGervasSEPLN2005.pdf (173.98 KB)
V. Francisco and Gervás, P., Análisis de dependencias para la marcación de cuentos con emociones, in SEPLN 2006, Zaragoza, Spain, 2006.PDF icon FranciscoGervasSEPLN2006.pdf (156.23 KB)
L. Zhang and Francisco, V., Affect Recognition from Speech, Artificial Intelligence in Education, vol. 200. IOS Press, pp. 683-685, 2009.PDF icon AIED2009.pdf (1.08 MB)

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