1 code implementation • 20 Feb 2024 • Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi, Mona Diab
The intricate relationship between language and culture has long been a subject of exploration within the realm of linguistic anthropology.
no code implementations • 17 Jan 2024 • Muhammad ElNokrashy, Badr AlKhamissi
In this light, we introduce Context-Contrastive Partial Diacritization (CCPD)--a novel approach to PD which integrates seamlessly with existing Arabic diacritization systems.
no code implementations • 24 Oct 2023 • Ahmed ElBakry, Mohamed Gabr, Muhammad ElNokrashy, Badr AlKhamissi
This task focuses on deriving a vector representation of an Arabic word from its accompanying description.
no code implementations • 22 Oct 2022 • Bashar Alhafni, Nizar Habash, Houda Bouamor, Ossama Obeid, Sultan Alrowili, Daliyah AlZeer, Khawlah M. Alshanqiti, Ahmed ElBakry, Muhammad ElNokrashy, Mohamed Gabr, Abderrahmane Issam, Abdelrahim Qaddoumi, K. Vijay-Shanker, Mahmoud Zyate
In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop.
no code implementations • 30 Sep 2022 • Muhammad ElNokrashy, Badr AlKhamissi, Mona Diab
To test this, we propose a new layer fusion method: Depth-Wise Attention (DWAtt), to help re-surface signals from non-final layers.
no code implementations • 11 Aug 2022 • Muhammad ElNokrashy, Amr Hendy, Mohamed Maher, Mohamed Afify, Hany Hassan Awadalla
In a WMT evaluation campaign, From-English performance improves by 4. 17 and 2. 87 BLEU points, in the zero-shot setting, and when direct data is available for training, respectively.
no code implementations • 16 Sep 2021 • Badr AlKhamissi, Muhammad ElNokrashy, David Bernal-Casas
In this work, we explore a new Spiking Neural Network (SNN) formulation with Resonate-and-Fire (RAF) neurons (Izhikevich, 2001) trained with gradient descent via back-propagation.
no code implementations • ICLR Workshop Learning_to_Learn 2021 • Badr AlKhamissi, Muhammad ElNokrashy, Michael Spranger
In this work, we analyze the reinstatement mechanism introduced by Ritter et al. (2018) to reveal two classes of neurons that emerge in the agent's working memory (an epLSTM cell) when trained using episodic meta-RL on an episodic variant of the Harlow visual fixation task.
1 code implementation • EACL (WANLP) 2021 • Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy, Khaled Essam
Tasks are to identify the geographic origin of short Dialectal (DA) and Modern Standard Arabic (MSA) utterances at the levels of both country and province.