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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| Vydáno v: | Journal of King Saud University. Computer and information sciences Ročník 34; číslo 6; s. 3732 - 3743 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Springer
01.06.2022
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| ISSN: | 1319-1578 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Najwa Altwaijry Muneera Alhoshan |
| Author_xml | – sequence: 1 fullname: Muneera Alhoshan organization: King Abdulaziz City for Science Technology Riyadh, Saudi Arabia; Corresponding author – sequence: 2 fullname: Najwa Altwaijry organization: Dept. of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia |
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| CitedBy_id | crossref_primary_10_1007_s10489_023_04452_4 crossref_primary_10_1007_s11042_024_18783_y crossref_primary_10_1016_j_jjimei_2025_100366 |
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| SubjectTerms | Arabic update summarization Arabic WordNet Automatic summarization Graph-ranking model |
| Title | AUSS: An arabic query-based update-summarization system |
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