D. A. Devyatkin, A. T. Sofronova, I. V. Sochenkov, “Methods for identifying links between regulatory documents”, Artificial Intelligence and Decision Making, 2019, Issue 4,Pages <nobr>61

Natural language processing

Methods for identifying links between regulatory documents

D. A. Devyatkin^a, A. T. Sofronova^b, I. V. Sochenkov^a

^a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
^b Limited liability company "Technologies for Systems Analysis", Moscow, Russia

Abstract: 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.

Keywords: information extraction from legal documents, implicit relationship detection, relationalsituational analysis.

DOI: 10.14357/20718594190407