LANS: Large-scale Arabic News Summarization Corpus

Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu

Abstract
Text summarization has been intensively studied in many languages, and some languages have reached advanced stages. Yet, Arabic Text Summarization (ATS) is still in its developing stages. Existing ATS datasets are either small or lack diversity. We build, LANS, a large-scale and diverse dataset for Arabic Text Summarization task. LANS offers 8.4 million articles and their summaries extracted from newspapers websites’ metadata between 1999 and 2019. The high-quality and diverse summaries are written by journalists from 22 major Arab newspapers and include an eclectic mix of at least more than 7 topics from each source. We conduct an intrinsic evaluation on LANS by both automatic and human evaluations. Human evaluation of 1,000 random samples reports 95.4% accuracy for our collected summaries, and automatic evaluation quantifies the diversity and abstractness of the summaries.
Anthology ID:
2023.arabicnlp-1.8
Volume:
Proceedings of ArabicNLP 2023
Month:
December
Year:
2023
Address:
Singapore (Hybrid)
Editors:
Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
Venues:
ArabicNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
89–100
Language:
URL:
https://aclanthology.org/2023.arabicnlp-1.8
DOI:
10.18653/v1/2023.arabicnlp-1.8
Bibkey:
Cite (ACL):
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, and Chang-Tien Lu. 2023. LANS: Large-scale Arabic News Summarization Corpus. In Proceedings of ArabicNLP 2023, pages 89–100, Singapore (Hybrid). Association for Computational Linguistics.
Cite (Informal):
LANS: Large-scale Arabic News Summarization Corpus (Alhamadani et al., ArabicNLP-WS 2023)
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PDF:
https://preview.aclanthology.org/naacl24-info/2023.arabicnlp-1.8.pdf
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