MALANDRI LORENZO

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

Malandri, L., Mercorio, F., Mezzanzanica, M., Seveso, A. (2024). Model-contrastive explanations through symbolic reasoning. DECISION SUPPORT SYSTEMS, 176(January 2024) [10.1016/j.dss.2023.114040]. Dettaglio

Xu, W., Huang, Z., Hu, W., Fang, X., Cherukuri, R., Nayyar, N., et al. (2024). HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent. In NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop (pp.59-72). Association for Computational Linguistics (ACL). Dettaglio

Malandri, L., Mercorio, F., Mezzanzanica, M., Pallucchini, F. (2024). SeNSe: embedding alignment via semantic anchors selection. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS [10.1007/s41060-024-00522-z]. Dettaglio

Ascari, R., Giabelli, A., Malandri, L., Mercorio, F., Mezzanzanica, M. (2024). A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. COGNITIVE COMPUTATION, 16(3), 949-963 [10.1007/s12559-023-10235-3]. Dettaglio