This page is dedicated to the research activities by Andrea Tagarelli’s Machine Learning, NLP and Network Science Team @Artificial Intelligence and Data Science Lab on topics pertaining modeling, learning and understanding law text data and networks.
Publications:
A. Simeri, A. Tagarelli. Exploring domain and task adaptation of LamBERTa models for article retrieval on the Italian Civil Code. Proc. The 19th Conference on Information and Research science Connecting to Digital and Library science. Bari, Italy, February 23-24, 2023.
Keywords: law article retrieval, domain adaptation, deep pre-trained language models, BERT, LegalBERT, text classification, Italian civil code, predictive justice
L. La Cava, A. Simeri, A. Tagarelli. LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References. Proc. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Madrid, Spain, July 11-15, 2022. DOI: 10.1145/3477495.3531668
Keywords: law article citation networks, law article retrieval, visualization tools
A. Tagarelli, A. Simeri. Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code. Artificial Intelligence and Law, 30(3):417-473, 2022. Online Published: September 2021. DOI: 10.1007/s10506-021-09301-8
Keywords: law article retrieval, deep learning, deep pre-trained language models, BERT, text classification, Italian civil code, predictive justice
L. La Cava, A. Simeri, A. Tagarelli. The Italian civil code network analysis. Proc. RELATED – Relations in the Legal Domain Workshop @ICAIL 2021. CEUR Workshop Proceedings, 2021, 2896, pp. 3–16
Keywords: law article citation networks, community detection, Italian civil code
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Corpora and query test sets used in the above papers will be made available upon request.
If you are interested in having these data, please contact me.