Multilevel language processing for intelligent retrieval and text mining

The paper considers the problem of applying methods for multilevel natural language processing to information retrieval and text mining. The problem of using linguistic information about the structure of text and sentences obtained as a result of syntactic, semantic and discursive analysis of texts is investigated. The results of the development of methods for multi-level processing of the Russian language and their application in the tasks of semantic and question-answering search, information extraction from texts, text classification and psycholinguistic analysis of texts are presented.