Information Theory-based Compositional Distributional Semantics. - Enrique Amigó; Alejandro Ariza-Casabona; Víctor Fresno-Fernández; M. Antònia Martí (Comput. Linguistics, 2022)

Overview of DETESTS at IberLEF 2022: DETEction and classification of racial STereotypes in Spanish. - Alejandro Ariza-Casabona; Wolfgang Schmeisser-Nieto; Montserrat Nofre; Mariona Taulé; Enrique Amigó; Berta Chulvi; Paolo Rosso (Proces. del Leng. Natural, 2022)

Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation. - Alejandro Ariza-Casabona; Bartlomiej Twardowski; Tri Kurniawan Wijaya (ECIR (1), 2023)

Towards Self-Explaining Sequence-Aware Recommendation. - Alejandro Ariza-Casabona; Maria Salamó; Ludovico Boratto; Gianni Fenu (RecSys, 2023)

MM-GEF: Multi-modal representation meet collaborative filtering. - Hao Wu; Alejandro Ariza-Casabona; Bartlomiej Twardowski; Tri Kurniawan Wijaya (CoRR, 2023)

A Comparative Analysis of Text-Based Explainable Recommender Systems. - Alejandro Ariza-Casabona; Ludovico Boratto; Maria Salamó (RecSys, 2024)

Overview of DETESTS-Dis at IberLEF 2024: DETEction and classification of racial STereotypes in Spanish - Learning with Disagreement. - Wolfgang Schmeisser-Nieto; Pol Pastells; Simona Frenda; Alejandro Ariza-Casabona; Mireia Farrús; Paolo Rosso; Mariona Taulé (Proces. del Leng. Natural, 2024)

ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation). - Alejandro Ariza-Casabona; Nikos Kanakaris; Daniele Malitesta (CoRR, 2025)

Stereohoax: a multilingual corpus of racial hoaxes and social media reactions annotated for stereotypes. - Wolfgang S. Schmeisser-Nieto; Alessandra Teresa Cignarella; Tom Bourgeade; Simona Frenda; Alejandro Ariza-Casabona; Mario Laurent; Paolo Giovanni Cicirelli; Andrea Marra; Giuseppe Corbelli; Farah Benamara; Cristina Bosco; Véronique Moriceau; et al. (Lang. Resour. Evaluation, 2025)