The article proposes a new method for relationship detection (explicit and implicit) between legal documents, as well as its experimental assessment on the corpus of legal texts on information technology regulation. The method considers deep linguistic features and allows estimating topic, syntax and semantic similarity of legal texts.
DOI: https://doi.org/10.14357/20718594190407
PDF at the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): http://www.isa.ru/aidt/images/documents/2019-04/61-69.pdf
At the Artificial Intelligence and Decision Making journal: http://aidt.ru/index.php?option=com_content&view=article&id=856&lang=en
Devyatkin D. A., Sofronova A. T., Sochenkov I. V. Methods for Identifying Links Between Regulatory Documents // Artificial Intelligence and Decision Making. - 2019. - №. 4. – Page 61-69. DOI: 10.14357/20718594190407