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20202022
most citedDeep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

The Shared Task on Gender Rewriting

Bashar Alhafni, Nizar Habash, Houda Bouamor +11

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. T…

cs.NE20212 cited

Deep Spiking Neural Networks with Resonate-and-Fire Neurons

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.…

cs.LG2021

The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL

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)…

cs.CL2021

Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task

Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy +1

In this paper, we tackle the Nuanced Arabic Dialect Identification (NADI) shared task (Abdul-Mageed et al., 2021) and demonstrate state-of-the-art results on all of its four subtas…

cs.CL20205 cited

Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr

We propose a novel architecture for labelling character sequences that achieves state-of-the-art results on the Tashkeela Arabic diacritization benchmark. The core is a two-level r…