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Teaching Staff

Biography

Hugo Mentzingen is currently finishing the MSc Program in Data Science and Advanced Analytics, majoring in Business Analytics. His research focuses on applying Natural Language Processing (NLP) techniques and machine learning methods for legal courts assistance. Hugo holds a degree in Communications Engineering from the Military Institute of Engineering (Rio de Janeiro, Brazil), and specializations in Information Security Management from the University of Brasilia, and Innovation and Strategic Management from the Copenhagen Business School. Hugo works for the Superintendence of Private Insurance, the insurance sector supervisor in Brazil, in which he was IT Manager for 5 years, and is also a co-founder at ARTEH, a startup that provides an automated assessment of companies' carbon emissions and helps them set science-based emission reduction targets.

Scientific Publications

Mentzingen, H., Antonio, N., & Lobo, V. (2024)

Joining metadata and textual features to advise administrative courts decisions: a cascading classifier approach. Artificial Intelligence and Law, 32(1), 201-230. https://doi.org/10.1007/s10506-023-09348-9

Mentzingen, H., António, N., Bação, F., & Cunha, M. (2024)

Textual similarity for legal precedents discovery: assessing the performance of machine learning techniques in an administrative court. International Journal of Information Management Data Insights, 4(2), 1-21. Article 100247. https://doi.org/10.1016/j.jjimei.2024.100247

Mentzingen, H., António, N., & Bação, F. (2023)

Automation of legal precedents retrieval: Findings from a literature review. International Journal of Intelligent Systems, 2023, 1-22. [6660983]. https://doi.org/10.21203/rs.3.rs-2292464/v1, https://doi.org/10.21203/rs.3.rs-2292464/v2, https://doi.org/10.1155/2023/6660983

Silva, H., António, N., & Bacao, F. (2022)

A Rapid Semi-automated Literature Review on Legal Precedents Retrieval. In G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st  EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings (pp. 53-65). (Lecture Notes in Artificial Intelligence; Vol. 13566). Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_5