task_categories:text-classification task_categories:summarization language:ar size_categories:10K<n<100K region:us
---
task_categories:
- text-classification
- summarization
language:
- ar
size_categories:
- 10K<n<100K
---
# Dataset Card for ANTCorpus v2.1

## Dataset Description

- **Homepage:** https://antcorpus.github.io/
- **Point of Contact:** aminachouigui@gmail.com

### Dataset Summary

ANTCorpus v2.1 (31 525 articles with multi-source Arabic news websites)
### Supported Tasks and Leaderboards

Text classification and summarization.

### Languages

Arabic

### Licensing Information

By downloading ANT Corpus, you agree to cite at least one of our papers describing ANT Corpus and/or refer the project's main page in any kind of material you produce where ANT Corpus was used to conduct search or experimentation, whether be it a research paper, dissertation, article, poster, presentation, or documentation.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. An Arabic Multi-source News Corpus: Experimenting on Single-document Extractive Summarization. In Arabian Journal for Science and Engineering (AJSE 2021), 46(08), 1-14, DOI : 10.1007/s13369-020-05258-z , February 2021.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. ANT Corpus : An Arabic News Text Collection for Textual Classification. In proceedings of the 14th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2017), pp. 135-142, Hammamet, Tunisia, October 30 - November 3, 2017.

📄 A. Chouigui, O. Ben Khiroun, and B. Elayeb. A TF-IDF and Co-occurrence Based Approach for Events Extraction from Arabic News Corpus. In proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB 2018), pp. 272-280, Paris, France, 13-15 June 2018.

📄 A. Chouigui, O. Ben Khiroun and B. Elayeb. Related Terms Extraction from Arabic News Corpus using Word Embedding. In: OTM Conferences & Workshops: Proceedings of the 7th International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS'18), Springer, LNCS, pp. 1-11, Valletta, Malta, 22-26 October 2018.
