Physical Sciences and Mathematics Commons^™

Enhancedbert: A Feature-Rich Ensemble Model For Arabic Word Sense Disambiguation With Statistical Analysis And Optimized Data Collection, Sanaa Kaddoura, Reem Nassar

All Works

Accurate assignment of meaning to a word based on its context, known as Word Sense Disambiguation (WSD), remains challenging across languages. Extensive research aims to develop automated methods for determining word senses in different contexts. However, the literature lacks the presence of datasets generated for the Arabic language WSD. This paper presents a dataset comprising a hundred polysemous Arabic words. Each word in the dataset encompasses 3–8 distinct senses, with ten example sentences per sense. Some statistical operations are conducted to gain insights into the dataset, enlightening its characteristics and properties. Subsequently, a novel WSD approach is proposed to utilize …