48 citations · 237 across the 17 of their papers we have counts for
17 papers
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani +1
Retrieval-Augmented Generation (RAG) models have drawn considerable attention in modern open-domain question answering. The effectiveness of RAG depends on the quality of the top r…
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani +2
This paper presents DynRank, a novel framework for enhancing passage retrieval in open-domain question-answering systems through dynamic zero-shot question classification. Traditio…
Detecting Temporal Ambiguity in Questions
Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari +1
Detecting and answering ambiguous questions has been a challenging task in open-domain question answering. Ambiguous questions have different answers depending on their interpretat…
Exploring Hint Generation Approaches in Open-Domain Question Answering
Jamshid Mozafari, Abdelrahman Abdallah, Bhawna Piryani +1
Automatic Question Answering (QA) systems rely on contextual information to provide accurate answers. Commonly, contexts are prepared through either retrieval-based or generation-b…
ReceiptSense: Beyond Traditional OCR -- A Dataset for Receipt Understanding
Abdelrahman Abdallah, Mohamed Mounis, Mahmoud Abdalla +6
Multilingual OCR and information extraction from receipts remains challenging, particularly for complex scripts like Arabic. We introduce \dataset, a comprehensive dataset designed…
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla +4
In this paper, we address the significant gap in Arabic natural language processing (NLP) resources by introducing ArabicaQA, the first large-scale dataset for machine reading comp…
AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and Classification
Abdelrahman Abdallah, Mahmoud Abdalla, Mohamed Elkasaby +2
The extraction of key information from receipts is a complex task that involves the recognition and extraction of text from scanned receipts. This process is crucial as it enables…
Generator-Retriever-Generator Approach for Open-Domain Question Answering
Abdelrahman Abdallah, Adam Jatowt
Open-domain question answering (QA) tasks usually require the retrieval of relevant information from a large corpus to generate accurate answers. We propose a novel approach called…
Deep learning for table detection and structure recognition: A survey
Mahmoud Kasem, Abdelrahman Abdallah, Alexander Berendeyev +6
Tables are everywhere, from scientific journals, papers, websites, and newspapers all the way to items we buy at the supermarket. Detecting them is thus of utmost importance to aut…
Investigation of Neural Network Methods for Reconstruction and Classification of Texture Images Under Conditions of Incomplete Information
Galymzhan Abdimanap, Kairat Bostanbekov, Abdelrahman Abdallah +6
The automated analysis of heterogeneous natural textures is frequently hindered by physical damage and data loss, presenting a significant challenge to computer vision. While deep…
KOHTD: Kazakh Offline Handwritten Text Dataset
Nazgul Toiganbayeva, Mahmoud Kasem, Galymzhan Abdimanap +4
Despite the transition to digital information exchange, many documents, such as invoices, taxes, memos and questionnaires, historical data, and answers to exam questions, still req…
TNCR: Table Net Detection and Classification Dataset
Abdelrahman Abdallah, Alexander Berendeyev, Islam Nuradin +1
We present TNCR, a new table dataset with varying image quality collected from free websites. The TNCR dataset can be used for table detection in scanned document images and their…
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
Daniyar Nurseitov, Kairat Bostanbekov, Maksat Kanatov +3
This article discusses the problem of handwriting recognition in Kazakh and Russian languages. This area is poorly studied since in the literature there are almost no works in this…
Estimate The Efficiency Of Multiprocessor's Cash Memory Work Algorithms
Mohamed A. Hamada, Abdelrahman Abdallah
Many computer systems for calculating the proper organization of memory are among the most critical issues. Using a tier cache memory (along with branching prediction) is an effect…
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Abdelrahman Abdallah, Mohamed Hamada, Daniyar Nurseitov
This research approaches the task of handwritten text with attention encoder-decoder networks that are trained on Kazakh and Russian language. We developed a novel deep neural netw…
HKR For Handwritten Kazakh & Russian Database
Daniyar Nurseitov, Kairat Bostanbekov, Daniyar Kurmankhojayev +2
In this paper, we present a new Russian and Kazakh database (with about 95% of Russian and 5% of Kazakh words/sentences respectively) for offline handwriting recognition. A few pre…
Automated Question Answer medical model based on Deep Learning Technology
Abdelrahman Abdallah, Mahmoud Kasem, Mohamed Hamada +1
Artificial intelligence can now provide more solutions for different problems, especially in the medical field. One of those problems the lack of answers to any given medical/healt…