ArEntail: manually-curated Arabic natural language inference dataset from news headlines

Author:

Obeidat Rasha,Al-Harahsheh Yara,Al-Ayyoub Mahmoud,Gharaibeh Maram

Funder

Deanship of Research at Jordan University of Science and Technology

Publisher

Springer Science and Business Media LLC

Reference67 articles.

1. Al Jallad, K., & Ghneim, N. (2023). Arnli: Arabic natural language inference entailment and contradiction detection. Computer Science, 2, 24.

2. Alabbas, M. (2011). Arbte: Arabic textual entailment. In Proceedings of the second student research workshop associated with RANLP 2011, pp. 48–53

3. Alabbas, M. (2013). A dataset for arabic textual entailment. In Proceedings of the Student Research Workshop Associated with RANLP 2013, pp. 7–13

4. Alharahseheh, Y., Obeidat, R., Al-Ayoub, M., & Gharaibeh, M. (2022). A survey on textual entailment: Benchmarks, approaches and applications. In 2022 13th International Conference on Information and Communication Systems (ICICS), pp. 328–336. IEEE

5. Amirkhani, H., AzariJafari, M., Faridan-Jahromi, S., Kouhkan, Z., Pourjafari, Z., & Amirak, A. (2023). Farstail: A persian natural language inference dataset. Soft Computing, 8, 1–13.

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