| 2025 | CIKM | AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence. | Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli |
| 2023 | ECIR | Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2022 | ADBIS | Neural Word Sense Disambiguation to Prune a Large Knowledge Graph of the Italian Cultural Heritage. | Erica Faggiani, Stefano Faralli, Paola Velardi |
| 2022 | ECIR | Third International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2022). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2022 | LREC | A Large Interlinked Knowledge Graph of the Italian Cultural Heritage. | Stefano Faralli, Andrea Lenzi, Paola Velardi |
| 2022 | LREC | Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing. | Riccardo Orlando, Simone Conia, Stefano Faralli, Roberto Navigli |
| 2021 | ECIR | Second International Workshop on Algorithmic Bias in Search and Recommendation (BIAS@ECIR2021). | Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo |
| 2020 | CIKM | A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction. | Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli |
| 2020 | CIKM | Mining User Interests from Social Media. | Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri |
| 2020 | ECIR | International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020). | Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo |
| 2020 | ICALT | MILA: A SCORM-Compliant Interactive Learning Analytics Tool for Moodle. | Damiano Distante, Massimo Villa, Nadia Sansone, Stefano Faralli |
| 2020 | LREC | Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph. | Georgeta Bordea, Stefano Faralli, Fleur Mougin, Paul Buitelaar, Gayo Diallo |
| 2020 | LREC | Multiple Knowledge GraphDB (MKGDB). | Stefano Faralli, Paola Velardi, Farid Yusifli |
| 2019 | ICCSA | A Two-Phase Bug Localization Approach Based on Multi-layer Perceptrons and Distributional Features. | Damiano Distante, Stefano Faralli |
| 2018 | CIKM | Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). | Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo |
| 2018 | IJCAI | Efficient Pruning of Large Knowledge Graphs. | Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi |
| 2018 | LREC | MIsA: Multilingual "IsA" Extraction from Corpora. | Stefano Faralli, Els Lefever, Simone Paolo Ponzetto |
| 2018 | LREC | Enriching Frame Representations with Distributionally Induced Senses. | Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto |
| 2018 | LREC | Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl. | Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2018 | LREC | Improving Hypernymy Extraction with Distributional Semantic Classes. | Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2018 | LREC | A Large Multilingual and Multi-domain Dataset for Recommender Systems. | Giorgia Di Tommaso, Stefano Faralli, Paola Velardi |
| 2017 | EACL | The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links. | Stefano Faralli, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto |
| 2017 | EACL | Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation. | Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann |
| 2017 | EMNLP | Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation. | Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann |
| 2016 | ICDM | Semantic Enabled Recommender System for Micro-Blog Users. | Stefano Faralli, Giorgia Di Tommaso, Paola Velardi |
| 2016 | LREC | A Large DataBase of Hypernymy Relations Extracted from the Web. | Julian Seitner, Christian Bizer, Kai Eckert, Stefano Faralli, Robert Meusel, Heiko Paulheim, Simone Paolo Ponzetto |
| 2015 | BigData | A Semantic Recommender for Micro-blog Users. | Stefano Faralli, Giovanni Stilo, Paola Velardi |
| 2015 | IJCAI | Large Scale Homophily Analysis in Twitter Using a Twixonomy. | Stefano Faralli, Giovanni Stilo, Paola Velardi |
| 2013 | ACL | GlossBoot: Bootstrapping Multilingual Domain Glossaries from the Web. | Flavio De Benedictis, Stefano Faralli, Roberto Navigli |
| 2013 | ACL | A Java Framework for Multilingual Definition and Hypernym Extraction. | Stefano Faralli, Roberto Navigli |
| 2013 | EMNLP | Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models. | Stefano Faralli, Roberto Navigli |
| 2012 | EMNLP | A New Minimally-Supervised Framework for Domain Word Sense Disambiguation. | Stefano Faralli, Roberto Navigli |
| 2012 | LREC | A New Method for Evaluating Automatically Learned Terminological Taxonomies. | Paola Velardi, Roberto Navigli, Stefano Faralli, Juana Mara Ruiz-Martnez |
| 2011 | CIKM | Two birds with one stone: learning semantic models for text categorization and word sense disambiguation. | Roberto Navigli, Stefano Faralli, Aitor Soroa, Oier Lopez de Lacalle, Eneko Agirre |
| 2011 | IJCAI | A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch. | Roberto Navigli, Paola Velardi, Stefano Faralli |
| 2008 | ER | The Situation Lens: Looking into Personal Service Composition. | Augusto Celentano, Stefano Faralli, Fabio Pittarello |
| 2006 | AVI | CHAMBRE: integrating multimedia and virtual tools. | Paolo Bottoni, Stefano Faralli, Anna Labella, Alessio Malizia, Claudio Scozzafava |