Open AccessExtraction of relation from natural language texts using statistical and linguistic methods.
Author(s) -
Вадим Константинович Пимешков,
V. V. Dikovitsky,
Maxim G. Shishaev
Publication year - 2020
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2020.8.11.028
Subject(s) - natural language processing , computer science , consistency (knowledge bases) , relationship extraction , relation (database) , artificial intelligence , information extraction , linguistics , statistical analysis , natural language , thesaurus , information retrieval , extraction (chemistry) , data mining , mathematics , statistics , chemistry , philosophy , chromatography
The work is devoted to the automated extraction of knowledge from unstructured text with the aim of their application in factextraction, the formation and replenishment of a thesaurus, analysis of document consistency. To extract and structure knowledge, methods of statistical and linguistic analysis are used.