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Artificial Intelligence Review
Erschienen in: Artificial Intelligence Review 2/2016

01.02.2016

Automatic Arabic text summarization: a survey

verfasst von: Asma Bader Al-Saleh, Mohamed El Bachir Menai

Erschienen in: Artificial Intelligence Review | Ausgabe 2/2016

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Abstract

This survey investigates several research studies that have been conducted in the field of Arabic text summarization. Specifically, it addresses summarization and evaluation methods, as well as the corpora used in those studies. The literature in this field is fairly limited and relatively new compared to the available literature on other languages, such as English. Therefore, there exists a great opportunity for further research in Arabic text summarization. In addition, one of the largest problems in Arabic summarization was the absence of Arabic gold standard summaries, although this situation is beginning to change, especially with the inclusion of Arabic language as a part of the corpora and tasks in the TAC 2011 MultiLing Pilot and ACL 2013 MultiLing Workshop. Finally, providing the required corpora and adopting them in Arabic summarization studies is an essential demand.
Vorheriger Artikel A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback
Nächster Artikel Novelty detection in data streams

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Fußnoten
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Metadaten
Titel
Automatic Arabic text summarization: a survey
verfasst von
Asma Bader Al-Saleh
Mohamed El Bachir Menai
Publikationsdatum
01.02.2016
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 2/2016
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-015-9442-x