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20172025
most citedCombining Lexical Features and a Supervised Learning Approach for Arabic Sentiment Analysis

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2025

HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection

Mohamed A. Abdallah, Samhaa R. El-Beltagy

In this paper, we present HalluSearch, a multilingual pipeline designed to detect fabricated text spans in Large Language Model (LLM) outputs. Developed as part of Mu-SHROOM, the M…

cs.CL2024

Exploring Retrieval Augmented Generation in Arabic

Samhaa R. El-Beltagy, Mohamed A. Abdallah

Recently, Retrieval Augmented Generation (RAG) has emerged as a powerful technique in natural language processing, combining the strengths of retrieval-based and generation-based m…

cs.CL2024

The FIGNEWS Shared Task on News Media Narratives

Wajdi Zaghouani, Mustafa Jarrar, Nizar Habash +5

We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses bias and propaganda annota…

cs.CL2020

A Panoramic Survey of Natural Language Processing in the Arab World

Kareem Darwish, Nizar Habash, Mourad Abbas +9

The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural langu…

cs.CL2019

A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification

Amr Al-Khatib, Samhaa R. El-Beltagy

This work presents a new and simple approach for fine-tuning pretrained word embeddings for text classification tasks. In this approach, the class in which a term appears, acts as…

cs.CL2017

NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis

Samhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman

This paper describes two systems that were used by the authors for addressing Arabic Sentiment Analysis as part of SemEval-2017, task 4. The authors participated in three Arabic re…

cs.CL2017★ 1 cited

Combining Lexical Features and a Supervised Learning Approach for Arabic Sentiment Analysis

Samhaa R. El-Beltagy, Talaat Khalil, Amal Halaby +1

The importance of building sentiment analysis tools for Arabic social media has been recognized during the past couple of years, especially with the rapid increase in the number of…