Licentia: a Tool for Supporting Users in Data Licensing on the Web of Data. - Cristian Cardellino; Serena Villata; Fabien Gandon; Guido Governatori; Ho-Pun Lam; Antonino Rotolo (ISWC (Posters & Demos), 2014)

Information Extraction with Active Learning: A Case Study in Legal Text. - Cristian Cardellino; Serena Villata; Laura Alonso Alemany; Elena Cabrio (CICLing (2), 2015)

Improvements in Information Extraction in Legal Text by Active Learning. - Cristian Cardellino; Laura Alonso Alemany; Serena Villata; Elena Cabrio (JURIX, 2015)

Legal NERC with ontologies, Wikipedia and curriculum learning. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (EACL (2), 2017)

Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (FLAIRS, 2017)

A low-cost, high-coverage legal named entity recognizer, classifier and linker. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (ICAIL, 2017)

Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF. - Cristian Cardellino; Milagro Teruel; Laura Alonso Alemany; Serena Villata (ISWC (Posters, Demos & Industry Tracks), 2017)

Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines. - Milagro Teruel; Cristian Cardellino; Fernando Cardellino; Laura Alonso Alemany; Serena Villata (LREC, 2018)

Exploring the impact of word embeddings for disjoint semisupervised Spanish verb sense disambiguation. - Cristian Cardellino; Laura Alonso Alemany (Inteligencia Artif., 2018)

Estudio de métodos semisupervisados para la desambiguación de sentidos verbales del español - Cristian Cardellino (2018)

Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations. - Cristian Cardellino; Laura Alonso Alemany; Milagro Teruel; Serena Villata; Santiago Marro (FLAIRS, 2019)

A Study on Multiple Tasks for e-Commerce Marketplaces. - Cristian Cardellino; Rafael Carrascosa (FLAIRS, 2021)

You can simply rely on communities for a robust characterization of stances. - Damián Ariel Furman; Santiago Marro; Cristian Cardellino; Diana Nicoleta Popa; Laura Alonso Alemany (FLAIRS, 2021)

A Study on Title Encoding Methods for e-Commerce Downstream Tasks. - Cristian Cardellino; Rafael Carrascosa (FLAIRS, 2022)

ANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine. - Cristian Cardellino; Theo Alkibiades Collias; Benjamin Molinet; Erwan Hain; Wei Sun; Rodrigo Agerri; Serena Villata; Elena Cabrio (ECAI, 2024)