Research Areas: Natural Language Processing; Text Correction; Natural Language Evaluation; Morphological Analysis
Riadh Belkebir is a computer scientist specializing in Natural Language Processing and Machine Learning. He holds a Ph.D. in Artificial Intelligence from the USTHB University of Algiers. Before joining NYUAD as a Postdoctoral Associate, he was a Senior Data Scientist at saal.ai (UAE). His previous research includes work on Abstractive Text Summarization, Text Categorization, and building linguistic resources.
Research
My current research interests include Text Correction, Natural Language Evaluation, Morphological Analysis, and building tools for the Arabic NLP community.