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Encoder Decoder based Nepali News Headline Generation

by Kaushal Raj Mishra, Jayshree Rathi, Janardan Banjara
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 20
Year of Publication: 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 },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 20 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number20/31565-2020920735/ },
doi = { 10.5120/ijca2020920735 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:32.776933+05:30
%A Kaushal Raj Mishra
%A Jayshree Rathi
%A Janardan Banjara
%T Encoder Decoder based Nepali News Headline Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 20
%P 1-4
%D 2020
%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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Index Terms

Computer Science
Information Sciences

Keywords

Recurrent Neural Network Gated Recurrent Unit FastText Bilingual Evaluation Understudy (BLEU) Encoder Decoder

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