AUSS: An arabic query-based update-summarization system

Update summarization is a relatively recent summarization task concerned with creating a short summary from news articles, assuming the user has already read a number of previous articles. It is useful for users who want to know the latest information about a specific topic. The availability of syst...

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Bibliographic Details
Published in:Journal of King Saud University. Computer and information sciences Vol. 34; no. 6; pp. 3732 - 3743
Main Authors: Muneera Alhoshan, Najwa Altwaijry
Format: Journal Article
Language:English
Published: Springer 01.06.2022
Subjects:
Arabic update summarization
Arabic WordNet
Automatic summarization
Graph-ranking model
ISSN:1319-1578
Online Access:Get full text
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Description
Summary:Update summarization is a relatively recent summarization task concerned with creating a short summary from news articles, assuming the user has already read a number of previous articles. It is useful for users who want to know the latest information about a specific topic. The availability of systems that provide update summaries saves user time and effort. Unfortunately, such resources are lacking for the Arabic language. This paper aims to provide an update summarization system that generates an update summary containing the latest information requested by a user from multiple documents. This paper provides an Arabic query-based Update-Summarization System (AUSS). We use a graph-based ranking model to represent the similarity, through a combination of lexical and semantic relations between words. Our experiments show that AUSS achieves promising results, achieving a best F-Measure of 0.5405. To test AUSS, we created a new corpus especially for Arabic Update Summaries, which we call (AUS-DB). AUS-DB contains 183 articles and their corresponding reference summaries.
ISSN:1319-1578
DOI:10.1016/j.jksuci.2020.11.027