Research Article
Encoder Decoder based Nepali News Headline Generation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 175 - Issue 20 |
| Published: Sep 2020 |
| Authors: Kaushal Raj Mishra, Jayshree Rathi, Janardan Banjara |
10.5120/ijca2020920735
|
Kaushal Raj Mishra, Jayshree Rathi, Janardan Banjara . Encoder Decoder based Nepali News Headline Generation. International Journal of Computer Applications. 175, 20 (Sep 2020), 1-4. DOI=10.5120/ijca2020920735
@article{ 10.5120/ijca2020920735,
author = { Kaushal Raj Mishra,Jayshree Rathi,Janardan Banjara },
title = { Encoder Decoder based Nepali News Headline Generation },
journal = { International Journal of Computer Applications },
year = { 2020 },
volume = { 175 },
number = { 20 },
pages = { 1-4 },
doi = { 10.5120/ijca2020920735 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2020
%A Kaushal Raj Mishra
%A Jayshree Rathi
%A Janardan Banjara
%T Encoder Decoder based Nepali News Headline Generation%T
%J International Journal of Computer Applications
%V 175
%N 20
%P 1-4
%R 10.5120/ijca2020920735
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, a method for Nepali News Headline Generation is presented. The proposed method uses GRUs, in an encoder-decoder fashion, taking the news content as input and generating a headline as the output. The news is converted into word tokens, which are vectorized using FastText, trained on a corpus of Nepali news articles and headlines collected from several web portals. The headline generation model is also trained on the same corpus. A sequence to sequence model, with an encoder and a decoder GRU is used as the generation model. The model was able to attain a BLEU score of 22.1 on the test set.
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