MALANDRI LORENZO

De Santo, A., Nobani, N., Malandri, L., Mercorio, F., Mezzanzanica, M. (2026). Using language models to extract and map emerging skills to the ESCO taxonomy. DISCOVER ARTIFICIAL INTELLIGENCE [10.1007/s44163-026-01609-1]. Dettaglio

Pallucchini, F., Malandri, L., Mercorio, F., Mezzanzanica, M. (2026). Lost in Alignment: A Survey on Cross-Lingual Alignment Methods for Contextualized Representation. ACM COMPUTING SURVEYS, 58(5 (April 2026)), 1-34 [10.1145/3764112]. Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Pallucchini, F. (2025). SeNSe: embedding alignment via semantic anchors selection. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 20(1), 167-181 [10.1007/s41060-024-00522-z]. Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Pallucchini, F. (2025). RE-FIN: Retrieval-based Enrichment for Financial data. In Proceedings - International Conference on Computational Linguistics, COLING (pp.751-759). Association for Computational Linguistics (ACL). Dettaglio

Haardt, V., Malandri, L., Mercorio, F., Porcelli, L. (2025). SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine Learning. In Machine Learning and Principles and Practice of Knowledge Discovery in Databases
International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part III (pp.390-402). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-74633-8_28]. Dettaglio