The implementation of two software modules: "text fragment extraction module" and "automatic summarization module", aimed at the generation of a summary of a court act is considered. These modules are parts of a hybrid intelligent information system for analysis of the judicial practice of arbitration courts, the "text fragment extraction module" is a part of the system's subconsciousness. In contrast, the "automatic summarization module" is a part of the system's consciousness. The "automatic summarization module" allows generating summaries of different lengths depending on the information that the lawyer need. The input of the module is a text with pre-classified paragraphs. The output of a module can be a dictionary for use in other modules of the system. The improved version of the "text fragment extraction module" uses a hybrid approach for text extraction. It consists of five submodules: submodule for creating templates, clustering submodule, classification submodule 1 (based on LGBM), classification submodule 2 (based on the convolutional neural network), classification submodule 3 (based on logistic regression implemented using the PyTorch library). The improved version of the "text fragment extraction module" shows an accuracy of 85.83%, F-measure 85.38% .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.