Search Results for author:
Found 15 papers, 12 papers with code
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
In conclusion, ArabicaQA, AraDPR, and the benchmarking of LLMs in Arabic question answering offer significant advancements in the field of Arabic NLP.
Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis
This paper presents a comprehensive survey of research works on the topic of form understanding in the context of scanned documents.
AMuRD: Annotated Arabic-English Receipt Dataset for Key Information Extraction and Classification
In this paper, we present AMuRD, a novel multilingual human-annotated dataset specifically designed for information extraction from receipts.
Generator-Retriever-Generator Approach for Open-Domain Question Answering
Open-domain question answering (QA) tasks usually require the retrieval of relevant information from a large corpus to generate accurate answers.
Exploring the State of the Art in Legal QA Systems
At this time, there is a lack of surveys that discuss legal question answering.
Deep learning for table detection and structure recognition: A survey
The goals of this survey are to provide a profound comprehension of the major developments in the field of Table Detection, offer insight into the different methodologies, and provide a systematic taxonomy of the different approaches.
Enhancing Core Image Classification Using Generative Adversarial Networks (GANs)
In the thrilling world of oil exploration, drill core samples are key to unlocking geological information critical to finding lucrative oil deposits.
KOHTD: Kazakh Offline Handwritten Text Dataset
In this regard, there is a need to implement Handwritten Text Recognition (HTR) which is an automatic way to decrypt records using a computer.
Ranked #1 on
Handwriting Recognition
on KOHTD
TNCR: Table Net Detection and Classification Dataset
Cascade Mask R-CNN with ResNeXt-101-64x4d Backbone Network achieves the highest performance compared to other methods with a precision of 79. 7%, recall of 89. 8%, and f1 score of 84. 4% on the TNCR dataset.
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
This article discusses the problem of handwriting recognition in Kazakh and Russian languages.
Estimate The Efficiency Of Multiprocessor's Cash Memory Work Algorithms
This work is devoted to designing a multi-parameter simulation model of a multi-process for evaluating the performance of cache memory algorithms and the optimality of the structure.
An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion
In this work we propose a general formulation of the improved feasible region that guarantees dynamic balance alongside the satisfaction of both joint-torque and kinematic limits in an efficient manner.
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Also, we propose fully gated layers by taking the advantage of multiple the output feature from Tahn and input feature, this proposed work achieves better results and We experimented with our model on the Handwritten Kazakh & Russian Database (HKR).
Automated Question Answer medical model based on Deep Learning Technology
Artificial intelligence can now provide more solutions for different problems, especially in the medical field.
