@inproceedings{alqahtani-yannakoudakis-2022-authorship,
title = "Authorship Verification for {A}rabic Short Texts Using {A}rabic Knowledge-Base Model ({A}ra{KB})",
author = "Alqahtani, Fatimah and
Yannakoudakis, Helen",
editor = "Bouamor, Houda and
Al-Khalifa, Hend and
Darwish, Kareem and
Rambow, Owen and
Bougares, Fethi and
Abdelali, Ahmed and
Tomeh, Nadi and
Khalifa, Salam and
Zaghouani, Wajdi",
booktitle = "Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wanlp-1.19",
doi = "10.18653/v1/2022.wanlp-1.19",
pages = "205--213",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB)
%A Alqahtani, Fatimah
%A Yannakoudakis, Helen
%Y Bouamor, Houda
%Y Al-Khalifa, Hend
%Y Darwish, Kareem
%Y Rambow, Owen
%Y Bougares, Fethi
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Khalifa, Salam
%Y Zaghouani, Wajdi
%S Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F alqahtani-yannakoudakis-2022-authorship
%X 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.
%R 10.18653/v1/2022.wanlp-1.19
%U https://aclanthology.org/2022.wanlp-1.19
%U https://doi.org/10.18653/v1/2022.wanlp-1.19
%P 205-213
Markdown (Informal)
[Authorship Verification for Arabic Short Texts Using Arabic Knowledge-Base Model (AraKB)](https://aclanthology.org/2022.wanlp-1.19) (Alqahtani & Yannakoudakis, WANLP 2022)
ACL