Analytical Review of the Possibilities of Modern Methods and Models of Artificial Intelligence in Relation to Intelligent Processing of Scientific and Technical Documents

The article presents an overview of modern methods and artificial intelligence (AI) models designed to perform the main tasks of intelligent text processing of scientific and technical documents. The rationale for the historical transition from linguistic methods of document processing to modern methods based on AI technologies, including using Python libraries, is given. The most powerful tools that effectively perform the tasks of intelligent text processing are highlighted.

Authors

Institutions

Publication Details

Journal
Automatic Documentation and Mathematical Linguistics
Published
2025-12-01
DOI
https://doi.org/10.3103/s0005105525701134
Primary Topic
Information Systems and Technology Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analytical Review of the Possibilities of Modern Methods and Models of Artificial Intelligence in Relation to Intelligent Processing of Scientific and Technical Documents

A. V. Rykalin, A. V. Kan, I. A. Chechulin, A. A. Khoroshilov
Automatic Documentation and Mathematical Linguistics
Information Systems and Technology Applications
article

Analytical Review of the Possibilities of Modern Methods and Models of Artificial Intelligence in Relation to Intelligent Processing of Scientific and Technical Documents

A. V. Rykalin, A. V. Kan, I. A. Chechulin, A. A. Khoroshilov
article en

Abstract

The article presents an overview of modern methods and artificial intelligence (AI) models designed to perform the main tasks of intelligent text processing of scientific and technical documents. The rationale for the historical transition from linguistic methods of document processing to modern methods based on AI technologies, including using Python libraries, is given. The most powerful tools that effectively perform the tasks of intelligent text processing are highlighted.

Automatic Documentation and Mathematical LinguisticsVol. 59(6)
All Russian Institute for Scientific and Technical Information (RU)
Quality Education
Openalex Percentile: Top 19%
Information Systems and Technology Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.