Results

Papers

Rodríguez-Ferrándiz, R. (2023). An Overview of Fake News’ Phenomenon: From Untruth Driven to Post-Truth-Driven Approaches. Media and Communication, 11(2), Pages 15-29 https://doi.org/10.17645/mac.v11i2.6315

Rodríguez-Ferrándiz, R., Sánchez-Olmos, C., & Hidalgo-Marí, T. (2023). For the sake of sharing: Fake news as memes. In M. Filimowicz (Ed.) Information Disorder (Algorithms and Society Book Series) (pp. 46–68). London: Routledge. ISBN 9781003299936 https://doi.org/10.4324/9781003299936-3

Botella, B., Sepúlveda-Torres, R., Martínez-Barco, P., Saquete, E. (2023) Violencia Identificada en el Lenguaje (VIL). Creación de recurso para mensajes violentos. Procesamiento del Lenguaje Natural. 2023, 70: 187-198. https://doi.org/10.26342/2023-70-15

Fernández, J., Gutiérrez, Y., & Martinez-Barco, P. (2023). Generación y pesado de skipgrams y su aplicación al análisis de sentimientos. Procesamiento del Lenguaje Natural, 70, 213-223.

Fernandez, J. (2022) A Supervised Approach for Sentiment Lexicon Generation using Word Skipgrams. Proceedings of the Doctoral Symposium on Natural Language Processing from the PLN.net network 2022 co-located with the XXXVIII edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), A Coruña, Spain, September 21-23, 2022. CEUR Workshop Proceedings, Vol-3270, 9-14. https://ceur-ws.org/Vol-3270/

Pilaluisa, J., Tomás, D., Navarro-Colorado, B. et al. (2022) Contextual word embeddings for tabular data search and integration. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-08066-8

Alba Bonet-Jover, Robiert Sepúlveda-Torres, Estela Saquete, Patricio Martínez-Barco, Alejandro Piad-Morffis, Suilan Estevez-Velarde. Applying Human-in-the-Loop to construct a dataset for determining content reliability to combat disinformation. Artículo enviado a la revista Engineering Applications of Artificial Intelligence. En proceso de revisión.

Bonet-Jover, A., Sepúlveda-Torres, R., Saquete, E., Martínez-Barco, P., & Nieto-Pérez, M. (2023). RUN-AS: a novel approach to annotate news reliability for disinformation detection. Language Resources and Evaluation, 1-31.

Bonet-Jover, A., Sepúlveda-Torres, R., Saquete, E., & Barco, P. M. (2023). Annotating reliability to enhance disinformation detection: annotation scheme, resource and evaluation. Procesamiento del Lenguaje Natural, 70, 15-26.

Bonet-Jover, A., Sepúlveda-Torres, R., Saquete, E., & Martínez-Barco, P. (2023). A semi-automatic annotation methodology that combines Summarization and Human-In-The-Loop to create disinformation detection resources. Knowledge-Based Systems, Vol 275. pp 110723.

Juan Pablo Consuegra-Ayala, Yoan Gutiérrez, Yudivian Almeida-Cruz, Manuel Palomar (2022) Intelligent ensembling of auto-ML system outputs for solving classification problems, Information Sciences, Volume 609, 2022, Pages 766-780, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2022.07.061.

Sepúlveda-Torres, R., Vicente, M., Saquete, E., Lloret, E., & Palomar, M. (2023). Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines. Data & Knowledge Engineering, 102176. https://doi.org/10.1016/j.datak.2023.102176

Sepúlveda-Torres, R., Bonet-Jover, A., & Saquete, E. (2023). Detecting misleading headlines through the automatic recognition of contradiction in Spanish. IEEE Access.

Tomás, D., Ortega-Bueno, R., Zhang, G., Rosso, P., Schifanella, R. (2022) Transformer-based models for multimodal irony detection. J Ambient Intell Human Comput (2022). https://doi.org/10.1007/s12652-022-04447-y

Pilaluisa, J., Tomás, D., Navarro-Colorado, B. et al. (2022) Contextual word embeddings for tabular data search and integration. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-08066-8

Others

ChatGPT cumple seis meses. Maldita Tecnología. Mayo 2023 https://maldita.es/malditatecnologia/20230530/chatgpt-seis-meses-evolucion-errores-desconoce-actualidad/

Entrevista a Patricio Martínez, Catedrático de Lenguajes y Sistemas Informáticos de la UA, en Hoy por Hoy Alicante (SER). Entrevistado por Carlos Arcaya. https://cadenaser.com/audio/1685702322_722_cut/