activity
20202024
most citedDeep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

5 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2024★ 1 cited

Investigating Cultural Alignment of Large Language Models

Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi +1

The intricate relationship between language and culture has long been a subject of exploration within the realm of linguistic anthropology. Large Language Models (LLMs), promoted a…

cs.CL2024★ 2 cited

A Context-Contrastive Inference Approach To Partial Diacritization

Muhammad ElNokrashy, Badr AlKhamissi

Diacritization plays a pivotal role in improving readability and disambiguating the meaning of Arabic texts. Efforts have so far focused on marking every eligible character (Full D…

cs.CL2023★ 2 cited

Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment

Ahmed ElBakry, Mohamed Gabr, Muhammad ElNokrashy +1

A Reverse Dictionary is a tool enabling users to discover a word based on its provided definition, meaning, or description. Such a technique proves valuable in various scenarios, a…

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.CL2022

Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification

Muhammad ElNokrashy, Badr AlKhamissi, Mona Diab

Language Models pretrained on large textual data have been shown to encode different types of knowledge simultaneously. Traditionally, only the features from the last layer are use…

cs.CL2022

Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation

Muhammad ElNokrashy, Amr Hendy, Mohamed Maher +2

This paper proposes a simple yet effective method to improve direct (X-to-Y) translation for both cases: zero-shot and when direct data is available. We modify the input tokens at…

cs.NE2021★ 2 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.CL2020★ 5 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…