Abdelhalim Hafedh Dahou


2023

pdf
Exploring BERT Models for Part-of-Speech Tagging in the Algerian Dialect: A Comprehensive Study
Mohamed Amine Cheragui | Abdelhalim Hafedh Dahou | Amin Abdedaiem
Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023)

pdf
Performance Analysis of Arabic Pre-trained Models on Named Entity Recognition Task
Abdelhalim Hafedh Dahou | Mohamed Amine Cheragui | Ahmed Abdelali
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing

Named Entity Recognition (NER) is a crucial task within natural language processing (NLP) that entails the identification and classification of entities, such as person, organization and location. This study delves into NER specifically in the Arabic language, focusing on the Algerian dialect. While previous research in NER has primarily concentrated on Modern Standard Arabic (MSA), the advent of social media has prompted a need to address the variations found in different Arabic dialects. Moreover, given the notable achievements of Large-scale pre-trained models (PTMs) based on the BERT architecture, this paper aims to evaluate Arabic pre-trained models using an Algerian dataset that covers different domains and writing styles. Additionally, an error analysis is conducted to identify PTMs’ limitations, and an investigation is carried out to assess the performance of trained MSA models on the Algerian dialect. The experimental results and subsequent analysis shed light on the complexities of NER in Arabic, offering valuable insights for future research endeavors.

2021

pdf
A3C: Arabic Anaphora Annotated Corpus
Mohamed Amine Cheragui | Abdelhalim Hafedh Dahou | Mohamed Abdelmoazz
Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021)