34 citations · 72 across the 5 of their papers we have counts for
7 papers
Wojood: Nested Arabic Named Entity Corpus and Recognition using BERT
Mustafa Jarrar, Mohammed Khalilia, Sana Ghanem
This paper presents Wojood, a corpus for Arabic nested Named Entity Recognition (NER). Nested entities occur when one entity mention is embedded inside another entity mention. Wojo…
Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to Arabic
Eman Naser-Karajah, Nabil Arman, Mustafa Jarrar
Extracting synonyms from dictionaries or corpora is gaining special attention as synonyms play an important role in improving NLP application performance. This paper presents a sur…
Curras + Baladi: Towards a Levantine Corpus
Karim El Haff, Mustafa Jarrar, Tymaa Hammouda +1
The processing of the Arabic language is a complex field of research. This is due to many factors, including the complex and rich morphology of Arabic, its high degree of ambiguity…
ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD
Moustafa Al-Hajj, Mustafa Jarrar
Using pre-trained transformer models such as BERT has proven to be effective in many NLP tasks. This paper presents our work to fine-tune BERT models for Arabic Word Sense Disambig…
The Arabic Ontology -- An Arabic Wordnet with Ontologically Clean Content
Mustafa Jarrar
We present a formal Arabic wordnet built on the basis of a carefully designed ontology hereby referred to as the Arabic Ontology. The ontology provides a formal representation of t…
LU-BZU at SemEval-2021 Task 2: Word2Vec and Lemma2Vec performance in Arabic Word-in-Context disambiguation
Moustafa Al-Hajj, Mustafa Jarrar
This paper presents a set of experiments to evaluate and compare between the performance of using CBOW Word2Vec and Lemma2Vec models for Arabic Word-in-Context (WiC) disambiguation…