| 2024 | ECAI | 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 |
| 2022 | FlAIRS | A Study on Title Encoding Methods for e-Commerce Downstream Tasks. | Cristian Cardellino, Rafael Carrascosa |
| 2021 | FlAIRS | A Study on Multiple Tasks for e-Commerce Marketplaces. | Cristian Cardellino, Rafael Carrascosa |
| 2021 | FlAIRS | You can simply rely on communities for a robust characterization of stances. | Damin Ariel Furman, Santiago Marro, Cristian Cardellino, Diana Nicoleta Popa, Laura Alonso Alemany |
| 2019 | FlAIRS | 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 |
| 2018 | LREC | Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines. | Milagro Teruel, Cristian Cardellino, Fernando Cardellino, Laura Alonso Alemany, Serena Villata |
| 2017 | EACL | Legal NERC with ontologies, Wikipedia and curriculum learning. | Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany, Serena Villata |
| 2017 | FlAIRS | Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population. | Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany, Serena Villata |
| 2017 | ICAIL | A low-cost, high-coverage legal named entity recognizer, classifier and linker. | Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany, Serena Villata |
| 2015 | CICLING | Information Extraction with Active Learning: A Case Study in Legal Text. | Cristian Cardellino, Serena Villata, Laura Alonso Alemany, Elena Cabrio |
| 2015 | JURIX | Improvements in Information Extraction in Legal Text by Active Learning. | Cristian Cardellino, Laura Alonso Alemany, Serena Villata, Elena Cabrio |