Abstract
Arabic is a Semitic language, considered to be one of the most complex languages in the world due to its unique composition and complex linguistic features. It consequently causes challenges for verifying the authorship of Arabic texts, requiring extensive research and development. This paper presents a new knowledge-based model to enhance Natural Language Understanding and thereby improve authorship verification performance. The proposed model provided promising results that would benefit the Arabic research for different Natural Language Processing tasks.- Anthology ID:
- 2022.wanlp-1.19
- Volume:
- Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Houda Bouamor, Hend Al-Khalifa, Kareem Darwish, Owen Rambow, Fethi Bougares, Ahmed Abdelali, Nadi Tomeh, Salam Khalifa, Wajdi Zaghouani
- Venue:
- WANLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 205–213
- Language:
- URL:
- https://aclanthology.org/2022.wanlp-1.19
- DOI:
- 10.18653/v1/2022.wanlp-1.19
- Cite (ACL):
- Fatimah Alqahtani and Helen Yannakoudakis. 2022. Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB). In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), pages 205–213, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB) (Alqahtani & Yannakoudakis, WANLP 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2022.wanlp-1.19.pdf