program below



natural language processing (NLP) challenge

29th March 2023

the event will be held at CERIST, Algiers and also online at:
Natural Language Processing (NLP) is at the core of most information processing tasks. It has long history in computer science and it has always been a central discipline of Artificial Intelligence. Recently, with the availability of data and the development of processing technologies (such as GPUs, TPUs, ...), we witness a great increasing success of machine and deep learning algorithms, which has marked the renewal of AI and opened its new era. The success of deep learning algorithms in general and transformers in particular has greatly boosted NLP tasks and changed the landscape of the field which has never been fruitful as today both in the monolingual and the multilingual dimension. In this context, CERIST proposes this NLP challenge to students and teams to solve some hot topic specific tasks. These tasks deal with scientific information and social networks information, we'll provide training and test datasets and we expect from teams to propose deep learning approaches to solve the tasks.


9h30 : 9h45

Prof. Hacene Belbachir, Honorary Chair.

Dr. Hassina Aliane, moderator.

Opening and welcome ceremony
9h45 : 10h
Rabia Bounaama, Mohammed El Amine Abderrahim.
Classifying covid-19 related tweets for fake news detection and sentiment analysis with BERT- based models.
University of Tlemcen, Algeria.
10h : 10h15
Mohammed Elsadiq Barmati and Bachir Said.
XLM-T for Multilingual Sentiment Analysis in Twitter using oversampling technique.
University Kasdi Merbah, Ouargla, Algeria.
10h15 : 10h30
Slimane Arbaoui, Alaa Eddine Belfedhal.
Arabic sentiment analysis within covid-19.
ESI- Sidi Bel Abbes, Algeria.
10h30 : 10h45
Zoubir Talai, Nada Kherici.
Compact CNN-Based Architecture For Text Classification and Sentiment Analysis.
University Badji Mokhtar, Annaba, Algeria.
10h45 : 11h
Yousra F.G. Elhakeem, Safa Eltayeb, Mohammed Aldawsari, Omer Salih Dawood Omer.
Modeling Sentiment Analysis Using Machine Learning Algorithms for Arabic covid-19 Tweet.
University Sattam bin Abdulaziz, Saudi Arabia.
11h : 11h15
Angel Felipe Magnossão de Paula, Imene Bensalem, Paolo Rosso and Wajdi Zaghouani.
Transformers and Ensemble methods : A solution for Hate Speech Detection in Arabic languages.
Universitat Politècnica de València, Spain.
11h15 : 11h30
Bachir Said and Mohammed E. Barmati.
GigaBERT-based Approach for Hate Speech Detection in Arabic Twitter.
University Kasdi Merbah, Ouargla, Algeria.
11h30 : 11h45
Abdelmounim sellidj.
A logistic regression algorithm for Arabic hate speech detection.
LINS-USTHB, Algeria.
11h45 : 12h00
Mohammed Aldawsari, Omer Salih Dawood Omer, Yousra F.G.Elhakeem, Safa Eltayeb.
Modeling Fake News Detection Using Machine Learning Algorithms for Arabic covid-19 Tweets.
University Sattam bin Abdulaziz, Saudi Arabia.
12h : 12h15
Chiker Nourelhouda.
Hate speech detection model based on BERT for the Arabic dialects.
University Dr. Yahia Fares, Medea, Algeria.
12h15 : 12h30
Hakim Bouchal.
Arabic Hate speech and social networks offensive language detection.
University of Bejaia, Algeria.
12h30 : 12h45
Lilya Yahiaoui.
Text summarization.
USTHB, Algeria.
12h45 : 13h
Closing Ceremony and Awards


  • Prof. Hacene Belbachir, Honoray Chair
  • Dr. Hassina Aliane, Chair
  • Belahcene Bahloul
  • Ahmed Amine Aliane
  • Imene Setha
  • Ahlem Cherifa Khadir
  • Faiza Deghmani
  • Asma Djaidri
  • Fouzia Bourai
  • Fatma-zohra Bessai
  • Messaoud Chaa
  • Dounia Halima Adjerad
  • Lamia Berkani
  • Souhila Bouchem
  • Abdessalam Amrane
  • Elfodil Abdelbaki
  • Rachid Aliradhi