2 citations · 2 across the 5 of their papers we have counts for
5 papers
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task
Mohammed Khalilia, Sanad Malaysha, Reem Suwaileh +4
This paper presents an overview of the Arabic Natural Language Understanding (ArabicNLU 2024) shared task, focusing on two subtasks: Word Sense Disambiguation (WSD) and Location Me…
AraFinNLP 2024: The First Arabic Financial NLP Shared Task
Sanad Malaysha, Mo El-Haj, Saad Ezzini +5
The expanding financial markets of the Arab world require sophisticated Arabic NLP tools. To address this need within the banking domain, the Arabic Financial NLP (AraFinNLP) share…
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia
Semantic textual relatedness is a broader concept of semantic similarity. It measures the extent to which two chunks of text convey similar meaning or topics, or share related conc…
SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks
Mustafa Jarrar, Sanad Malaysha, Tymaa Hammouda +1
SALMA, the first Arabic sense-annotated corpus, consists of ~34K tokens, which are all sense-annotated. The corpus is annotated using two different sense inventories simultaneously…
Context-Gloss Augmentation for Improving Arabic Target Sense Verification
Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia
Arabic language lacks semantic datasets and sense inventories. The most common semantically-labeled dataset for Arabic is the ArabGlossBERT, a relatively small dataset that consist…