Automation of headline generation for news articles
Problemy fiziki, matematiki i tehniki, no. 3 (2020), pp. 92-94 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

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},
     year = {2020},
     number = {3},
     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
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
%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/

[1] I. Sutskever, O. Vinyals, Q.V. Le, Sequence to Sequence Learning with Neural Networks, 2014, arXiv: (Date of access: 01.10.2019) 1409.3215 | Zbl

[2] D. Bahdanau, K. Cho, Y. Bengio, Neural Machine Translation by Jointly Learning to Align and Translate, 2014, arXiv: (Date of access: 01.10.2019) 1409.0473

[3] Chin-Yew Lin, “Rouge: A package for automatic evaluation of summaries”, Text summarization branches out, 2004, 74–81

[4] P. Xu, P. Fung, A novel repetition normalized adversarial reward for headline generation, 2019, arXiv: (Date of access: 01.10.2019) 1902.07110

[5] D. Gavrilov, P. Kalaidin, V. Malykh, Self-Attentive Model for Headline Generation, 2019, arXiv: (Date of access: 01.10.2019) 1901.07786

[6] A.M. Rush, S. Chopra, J. Weston, A Neural Attention Model for Abstractive Sentence Summarization, 2015, arXiv: (Date of access: 01.10.2019) 1509.00685