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V. Francisco and Gervás, P., “Identificación Automática del Contenido Afectivo de un Texto y su Papel en la Presentación de Información”, Universidad Complutense de Madrid, Madrid, 2008.

Tesis Virginia Francisco.pdf (3.3 MB)

M. Gómez-Espinosa, Francisco, V., and Moreno-Ger, P., “The Impact of Activity Design in Internet Plagiarism in Higher Education”, Comunicar, pp. 39–47, 2016.

10.3916-C48-2016-04-english.pdf (968.08 KB)

P. Delatorre, Salguero, A., León, C., and Tapscott, A., “The Impact of Context on Affective Norms: A Case of Study With Suspense”, Frontiers in Psychology, vol. 10, p. 1988, 2019.

P. Delatorre, León, C., Salguero, A., Mateo-Gil, C., and Gervás, P., “Impact of interactivity on information management for suspense in storytelling”, in Proceedings of AISB Annual Convencion 2017, 2017.

Delatorre 2017 - Interactivity and suspense.pdf (557.8 KB)

J. - M. Martínez-González, García-Sánchez, P., Palomo-Duarte, M., and Delatorre, P., “Implementación de generador estocástico de partidas mediante la configuración de dimensiones afectivas”, in XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 2018.

A. Díaz, Gervás, P., and García, A., “Improving Access to Multilingual Enterprise Information Systems with User Modelling”, in Proceedings of the Fourth International Conference on Enterprise Information Systems, 2002, pp. 482-487.

Diaz et al 2002 (ICEIS).pdf (140.43 KB)

L. Plaza, Lloret, E., and Aker, A., “Improving Automatic Image Captioning Using Text Summarization Techniques”, 13th International Conference on Text, Speech and Dialogue (TSD). pp. 165-172, 2010.

TSD2010.pdf (100.87 KB)

P. Gervás, “Improving Efficiency and Coherence in Evolutionary Story Generation”, in 14th International Conference on Computational Creativity, Waterloo, Ontario, Canada, 2023.

ImprovedEvolutionaryStoryGeneration-CRC-nopapertypeintitle.pdf (220.08 KB)

J. Carrillo de Albornoz, Plaza, L., and Gervás, P., “Improving Emotional Intensity Classification using Word Sense Disambiguation”, Special issue: Natural Language Processing and its Applications. Journal on Research in Computing Science, vol. 46, 2010.

JRCS462010.pdf (287.04 KB)

T. Rodríguez-Ferreira, Rabadán, A., Hervás, R., and Díaz, A., “Improving Information Extraction from Wikipedia Texts using Basic English”, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Paris, France, 2016.

LRECPaper-AdrianTeresa.pdf (100.4 KB)

M. Ballesteros, Herrera, J., Francisco, V., and Gervás, P., “Improving Parsing Accuracy for Spanish using Maltparser”, Procesamiento del Lenguaje Natural, vol. 44, pp. 83-90, 2010.

Ballesteros_et_al_PLN_2010.pdf (935.54 KB)

L. Plaza, Stevenson, M., and Díaz, A., “Improving Summarization of Biomedical Documents using Word Sense Disambiguation”, Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, ACL 2010. Uppsala, Sweden, 2010.

BioNLP2010.pdf (183.62 KB)

P. Delatorre, León, C., and Salguero, A., “Improving the Fitness Function of an Evolutionary Suspense Generator Through Sentiment Analysis”, IEEE Access, vol. 9, pp. 39626–39635, 2021.

M. Miranda and Peinado, F., “Improving the Performance of a Computer-Controlled Player in a Maze Chase Game using Evolutionary Programming on a Finite-State Machine”, in Congreso de la Sociedad Española Para las Ciencias del Videojuego, Barcelona, España, 2015.

E. Concepción, Gervás, P., and Méndez, G., “INES: A reconstruction of the Charade storytelling system using the Afanasyev Framework”, in Ninth International Conference on Computational Creativity, ICCC 2018, Salamanca, Spain, 2018.

ICCC 2018 paper on INES (442 KB)

M. Ballesteros, Francisco, V., Díaz, A., Herrera, J., and Gervás, P., “Inferring the Scope of Negation and Speculation Via Dependency Analysis”, in XXVII Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN 2011). Demo., 2011.

seplndemo_v1_mbm.pdf (143.62 KB)

M. Ballesteros, Francisco, V., Díaz, A., Herrera, J., and Gervás, P., “Inferring the Scope of Negation in Biomedical Documents”, in 13th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2012), New Delhi, 2012.

cicling2012_v6_mbm.pdf (323.03 KB)

M. Ballesteros, Francisco, V., Díaz, A., Herrera, J., and Gervás, P., “Inferring the Scope of Speculation Using Dependency Analysis”, in Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011), 2011.

kdir_2011_spec.pdf (233.67 KB)

R. Hervás, Arroyo, J., Francisco, V., Peinado, F., and Gervás, P., “Influence of personal choices on lexical variability in referring expressions”, Natural Language Engineering, vol. 22, pp. 257-290, 2016.

HervasEtAl_NLE_2016.pdf (480.66 KB)

P. Delatorre, León, C., Salguero, A., Palomo-Duarte, M., and Gervás, P., “Information management in interactive and non-interactive suspenseful storytelling”, Connection Science, vol. 31, pp. 82-101, 2019.

A. Díaz, “Integración de técnicas de clasificación de texto y modelado de usuario para la personalización en servicios de noticias”, Universidad Complutense de Madrid, 2005.

tesisAlbertoDiaz.pdf (1.52 MB)

L. A. Ureña, García-Vega, M., Gómez, J. M., and Díaz, A., “Integrando una base de datos léxica y una colección de entrenamiento para la desambiguación del sentido de las palabras”, Procesamiento del Lenguaje Natural, vol. 23, pp. 40-46, 1998.

A. Díaz, Buenaga, M. de, Ureña, L. A., and García-Vega, M., “Integrating Linguistic Resources in an Uniform Way for Text Classification Tasks ”, First International Conference on Language Resources and Evaluation . pp. 1197-1204, 1998.

A. Díaz, “Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services”, in User Modeling 2001, 8th International Conference (Doctoral Consortium), 2001, pp. 268-270.

P. Gervás and León, C., “Integrating Purpose and Revision into a Computational Model of Literary Generation”, in Creativity and Universality in Language, Esposti, Mirko Degli, Altmann, Eduardo, Pachet, Francois (Eds.)., Springer, 2016.

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