2 citations · 2 across the 8 of their papers we have counts for
9 papers
FAD-SA-GRU: Enhancing Hate Speech Detection in Algerian Dialect Through Feature-Augmented Self-Attention GRU Networks
Sara Yakoubi, Ikram Khalfallah, Kenza Khelkhal +1
The widespread adoption of social media platforms has transformed online communication by enabling users to exchange information and opinions instantly. However, these platforms ha…
Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect
Dihia Lanasri, Rebeh Imane Ammar Aouchiche, Abdelkarim Remmide +2
Automatic speech and language technologies are still heavily biased toward high-resource languages, limiting their applicability to dialectal and low-resource settings such as Alge…
An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect
Dihia Lanasri, Fatima Benbarek
The rapid growth of social media has intensified the spread of rumours. This issue is more challenging in the Algerian context due to the informal and code-switched nature of diale…
dziribot: rag based intelligent conversational agent for algerian arabic dialect
El Batoul Bechiri, Dihia Lanasri
The rapid digitalization of customer service has intensified the demand for conversational agents capable of providing accurate and natural interactions. In the Algerian context, t…
Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
Kenza Khelkhal, Dihia Lanasri
Hiring processes often involve the manual screening of hundreds of resumes for each job, a task that is time and effort consuming, error-prone, and subject to human bias. This pape…
Query Logs Analytics: A Aystematic Literature Review
Dihia Lanasri
In the digital era, user interactions with various resources such as databases, data warehouses, websites, and knowledge graphs (KGs) are increasingly mediated through digital plat…
T-curator: a trust based curation tool for LOD logs
Dihia Lanasri
Nowadays, companies are racing towards Linked Open Data (LOD) to improve their added value, but they are ignoring their SPARQL query logs. If well curated, these logs can present a…
End-to-end solution for linked open data query logs analytics
Dihia Lanasri
Important advances in pillar domains are derived from exploiting query-logs which represents users interest and preferences. Deep understanding of users provides useful knowledge w…
Hate speech detection in algerian dialect using deep learning
Dihia Lanasri, Juan Olano, Sifal Klioui +2
With the proliferation of hate speech on social networks under different formats, such as abusive language, cyberbullying, and violence, etc., people have experienced a significant…