Latest news from AUB MIND Lab
Subscribe to get our latest newsThe usage of Arabic language in Artificial Intelligence on The Researcher – Episode 5
Our own Prof. Hazem Hajj was featured in #TheResearcher series on LBCI. Where Prof. Hajj highlighted our lab's work on AI for the Arabic language. The Researcher is part of AUB's Olayan School of Business (OSB) Initiative “Impactful Research for Social Good”...
1st place in Arabic Sentiment Analysis 2021 @ KAUST
We are pleased to announce that Wissam Antoun ranked 1st in the Arabic Sentiment Analysis 2021 @ KAUST competition. Arabic Sentiment Analysis is one of the most popular tasks in Arabic Natural Language Processing (ANLP), with this competition being one of the largest...
WANLP 2021: Arabic Empathetic Conversational Agents and Pre-Trained Language Models
We are pleased to announce that we have 3 papers accepted to The Sixth Arabic Natural Language Processing Workshop (WANLP 2021) co-located with EACL 2021. Authored by our talented team members: Tarek Naous, Wissam Antoun, Reem Mahmoud, Fady Baly under the supervision...
AUB MIND Lab: 2020 in Review
The Machine INtelligence Development (MIND) Lab at the American University of Beirut (AUB) aims at providing state of the art solutions in the field of Artificial Intelligence with a focus on machine learning theory and applications. The lab has recently established a...
Paper Abstract: Empathy-driven Arabic Conversational Chatbot
We are excited to share a preview of the paper titled “Empathy-driven Arabic Conversational Chatbot” by Tarek Naous, Christian Hokayem, and Prof. Hazem Hajj. The paper will be published at WANLP 2020 at COLING'2020, Barcelona, Spain, 12 Dec. 2020. Abstract:...
Paper Abstract: A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet
We are excited to share a preview of Gilbert Badaro's (Ph.D.) paper titled "A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet". The paper will be published at the prestigious ACM Transactions on Asian and...
Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy Seizures
We proposed a novel approach that optimizes a hierarchical CNN and GRU network with Adversarial Examples training for seizure prediction
Best Collaborative Software Development Project award
We are pleased to announce that Layal Al Khuja, Alexander Khalil and Aya Kayal won the Murex Award for the Best Collaborative Software Development Project
Best Software Engineering Student Award
We are pleased to announce that Alaa Khaddaj won the “Best Software Engineering Student” Award.
A Link Prediction Approach for Accurately Mapping a Large-Scale Arabic Lexical Resource to English WordNet
AUB MIND Lab at OSACT 4 Shared Task on Offensive Language Detection
The use of social media platforms has become more prevalent, which has provided tremendous opportunities for people to connect but has also opened the door for misuse with the spread of hate speech and offensive language. This phenomenon has been driving more and more...
Resources and End-to-End Neural Network Models for Arabic Image Captioning
An end-to-end model that directly transcribes images into Arabic text and an annotated dataset for Arabic image captioning (AIC)
AraBERT : Pre-training BERT for Arabic Language Understanding
AraBERT is an Arabic pretrained language model based on Google’s BERT architecture
State of the Art Models for Fake News Detection Tasks
A paper detailing the winning models and methods in the Qatar International Fake News Detection and Annotation Contest
hULMonA: tHe first Universal Language MOdel iN Arabic
hULMonA is an Arabic universal language model based on ULMFit that can be fine-tuned for any text classification task