Open AccessTwo-stage technology of automated terminology extraction based on topic modeling and context analysis
Author(s) -
Maxim G. Shishaev,
AUTHOR_ID,
V. V. Dikovitsky,
Павел Ломов,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2021.5.12.001
Subject(s) - terminology , computer science , context (archaeology) , stage (stratigraphy) , natural language processing , task (project management) , extraction (chemistry) , artificial intelligence , software engineering , data science , information retrieval , systems engineering , engineering , linguistics , biology , paleontology , philosophy , chemistry , chromatography
The paper deals with the task of automated terminology extraction. A two-stage technology for its solution is proposed, based on topic modeling and analyzing the context of the use of lexical units. The results of experimental verification of the technology and the prospects for its further development are presented.