Search Results for author:
Found 21 papers, 5 papers with code
Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System
In this paper, we present our work for the NADI Shared Task (Abdul-Mageed and Habash, 2020): Nuanced Arabic Dialect Identification for Subtask-1: country-level dialect identification.
Arabic Dialect Identification Using BERT Fine-Tuning
In the last few years, deep learning has proved to be a very effective paradigm to discover patterns in large data sets.
AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques
Sarcasm detection is an important task in Natural Language Understanding.
Toward Flare-Free Images: A Survey
Lens flare is a common image artifact that can significantly degrade image quality and affect the performance of computer vision systems due to a strong light source pointing at the camera.
Hadiths Classification Using a Novel Author-Based Hadith Classification Dataset (ABCD)
ML was applied on Sanad and Matn separately; then, we did the same with DL.
AlexU-AIC at Arabic Hate Speech 2022: Contrast to Classify
The shared task consists of 3 sub-tasks, sub-task A focuses on detecting whether the tweet is offensive or not.
DeepLoc: A Ubiquitous Accurate and Low-Overhead Outdoor Cellular Localization System
This highlights the promise of DeepLoc as a ubiquitous accurate and low-overhead localization system.
SCAN: Sequence-character Aware Network for Text Recognition
Alternatively, it can also be posed as a character prediction problem.
AlexU-AUX-BERT at SemEval-2020 Task 3: Improving BERT Contextual Similarity Using Multiple Auxiliary Contexts
This paper describes the system we built for SemEval-2020 task 3.
AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning
In this paper, we use the annotated tweets of the Offensive Language Identification Dataset (OLID) to train three levels of deep learning classifiers to solve the three sub-tasks associated with the dataset.
Question Answering Using Hierarchical Attention on Top of BERT Features
The model submitted works as follows.
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features
Studies on Dialectical Arabic are growing more important by the day as it becomes the primary written and spoken form of Arabic online in informal settings.
A Document Descriptor using Covariance of Word Vectors
In this paper, we address the problem of finding a novel document descriptor based on the covariance matrix of the word vectors of a document.
QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums
In this paper we describe our QU-BIGIR system for the Arabic subtask D of the SemEval 2017 Task 3.
Seeded Laplaican: An Eigenfunction Solution for Scribble Based Interactive Image Segmentation
In our experiments, we evaluate our approach using both human scribble and "robot user" annotations to guide the foreground/background segmentation.
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets
It identifies the sub-interval with the maximum classifier score in linear time.
AlexU-Word: A New Dataset for Isolated-Word Closed-Vocabulary Offline Arabic Handwriting Recognition
The end goal is to collect a very large dataset of segmented letter images, which can be used to build and evaluate Arabic handwriting recognition systems that are based on segmented letter recognition.
Window-Based Descriptors for Arabic Handwritten Alphabet Recognition: A Comparative Study on a Novel Dataset
This paper presents a comparative study for window-based descriptors on the application of Arabic handwritten alphabet recognition.
