Geodesic
Automation of headline generation for news articles
Problemy fiziki, matematiki i tehniki, no. 3 (2020), pp. 92-94

Voir la notice de l'article provenant de la source Math-Net.Ru

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
Mots-clés : text summarisation. 
@article{PFMT_2020_3_a15,
     author = {I. V. Timokhin and N. B. Osipenko},
     title = {Automation of headline generation for news articles},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {92--94},
     publisher = {mathdoc},
     number = {3},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2020_3_a15/}
}
TY  - JOUR
AU  - I. V. Timokhin
AU  - N. B. Osipenko
TI  - Automation of headline generation for news articles
JO  - Problemy fiziki, matematiki i tehniki
PY  - 2020
SP  - 92
EP  - 94
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/PFMT_2020_3_a15/
LA  - ru
ID  - PFMT_2020_3_a15
ER  - 
%0 Journal Article
%A I. V. Timokhin
%A N. B. Osipenko
%T Automation of headline generation for news articles
%J Problemy fiziki, matematiki i tehniki
%D 2020
%P 92-94
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/PFMT_2020_3_a15/
%G ru
%F PFMT_2020_3_a15
I. V. Timokhin; N. B. Osipenko. Automation of headline generation for news articles. Problemy fiziki, matematiki i tehniki, no. 3 (2020), pp. 92-94. http://geodesic.mathdoc.fr/item/PFMT_2020_3_a15/