21 citations · 22 across the 2 of their papers we have counts for
4 papers
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…
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…
Automatic Identification of Arabic expressions related to future events in Lebanon's economy
Moustafa Al-Hajj, Amani Sabra
In this paper, we propose a method to automatically identify future events in Lebanon's economy from Arabic texts. Challenges are threefold: first, we need to build a corpus of Ara…
Automatic Annotation of Locative and Directional Expressions in Arabic
Rita Hijazi, Amani Sabra, Moustafa Al-Hajj
In this paper, we introduce a rule-based approach to annotate Locative and Directional Expressions in Arabic natural language text. The annotation is based on a constructed semanti…