Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics)
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



PFMT:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics), 2020, Issue 3(44), Pages 92–94 (Mi pfmt735)  

INFORMATION SCIENCE

Automation of headline generation for news articles

I. V. Timokhin, N. B. Osipenko

F. Scorina Gomel State University
References:
Abstract: The approach for automation of headline generation, using the seq2seq method with the Attention mechanism is considered. The steps from dataset gathering to final model verification are described.
Keywords: headline generation, natural language processing, artificial neural networks, text summarisation.
Received: 16.06.2020
Document Type: Article
UDC: 004.46:655.535.54
Language: Russian
Citation: I. V. Timokhin, N. B. Osipenko, “Automation of headline generation for news articles”, PFMT, 2020, no. 3(44), 92–94
Citation in format AMSBIB
\Bibitem{TimOsi20}
\by I.~V.~Timokhin, N.~B.~Osipenko
\paper Automation of headline generation for news articles
\jour PFMT
\yr 2020
\issue 3(44)
\pages 92--94
\mathnet{http://mi.mathnet.ru/pfmt735}
Linking options:
  • https://www.mathnet.ru/eng/pfmt735
  • https://www.mathnet.ru/eng/pfmt/y2020/i3/p92
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы физики, математики и техники
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2025