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Newsjam: A Multilingual Summarization Tool for News Articles

Authors:
Joseph Keenan
Shane Kaszefski-Yaschuk
Adelia Khasanova
Maxime Méloux

Keywords: summarization; twitter; covid-19; news

Abstract:
This paper introduces Newsjam, a multilingual sum- marization tool for COVID-19 news articles. To this purpose, two extractive summarization methods were implemented: Latent Semantic Indexing and K-means clustering on contextual word embeddings on French and English data. This tool was then evaluated using three evaluation metrics and four different corpora; two existing ones as well as two custom-built ones. Finally, the best performing methods were implemented into a complete pipeline, going from text scraping and classification to summarization, and ultimately posting the summaries to Twitter automatically.

Pages: 55 to 61

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-986-7

Location: Porto,Portugal

Dates: from June 26, 2022 to June 30, 2022