Zobrazeno 1 - 10
of 3 816
pro vyhledávání: '"Jarrar A"'
Publikováno v:
Clinical Ophthalmology, Vol Volume 15, Pp 4175-4180 (2021)
Alaa Dweikat,1 Arkan Jarrar,1 Mohammad Akkawi,2,3 Mohammad Shehadeh,2,3 Ammar Aghbar,3 Jamal Qaddumi,1 Maha Akkawi1 1Department of Medicine, Faculty of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine; 2Department of Spec
Externí odkaz:
https://doaj.org/article/f018d1f5ff26404f8243382eadd3f40e
Event-argument extraction is a challenging task, particularly in Arabic due to sparse linguistic resources. To fill this gap, we introduce the \hadath corpus ($550$k tokens) as an extension of Wojood, enriched with event-argument annotations. We used
Externí odkaz:
http://arxiv.org/abs/2407.21153
Autor:
Khalilia, Mohammed, Malaysha, Sanad, Suwaileh, Reem, Jarrar, Mustafa, Aljabari, Alaa, Elsayed, Tamer, Zitouni, Imed
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 Mention Disambiguation (LMD). The task aimed to evaluate the ability of
Externí odkaz:
http://arxiv.org/abs/2407.20663
Autor:
Zaghouani, Wajdi, Jarrar, Mustafa, Habash, Nizar, Bouamor, Houda, Zitouni, Imed, Diab, Mona, El-Beltagy, Samhaa R., AbuOdeh, Muhammed
We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. The shared task addresses bias and propaganda annotation in multilingual news posts. We focus on the early days of the Isr
Externí odkaz:
http://arxiv.org/abs/2407.18147
Autor:
Jarrar, Mustafa, Hamad, Nagham, Khalilia, Mohammed, Talafha, Bashar, Elmadany, AbdelRahim, Abdul-Mageed, Muhammad
We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants with a new Arabic fine-grained NER dataset called wojoodfine, annotated with sub
Externí odkaz:
http://arxiv.org/abs/2407.09936
Autor:
Malaysha, Sanad, El-Haj, Mo, Ezzini, Saad, Khalilia, Mohammed, Jarrar, Mustafa, Almujaiwel, Sultan, Berrada, Ismail, Bouamor, Houda
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) shared task proposes two subtasks: (i) Multi-dialect Intent Detection and (
Externí odkaz:
http://arxiv.org/abs/2407.09818
The proliferation of bias and propaganda on social media is an increasingly significant concern, leading to the development of techniques for automatic detection. This article presents a multilingual corpus of 12, 000 Facebook posts fully annotated f
Externí odkaz:
http://arxiv.org/abs/2407.09327
Autor:
Junior, Sylvio Barbon, Ceravolo, Paolo, Groppe, Sven, Jarrar, Mustafa, Maghool, Samira, Sèdes, Florence, Sahri, Soror, Van Keulen, Maurice
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like fluency a
Externí odkaz:
http://arxiv.org/abs/2406.06596
Autor:
Jarrar, Mustafa, Hammouda, Tymaa
We present Qabas, a novel open-source Arabic lexicon designed for NLP applications. The novelty of Qabas lies in its synthesis of 110 lexicons. Specifically, Qabas lexical entries (lemmas) are assembled by linking lemmas from 110 lexicons. Furthermor
Externí odkaz:
http://arxiv.org/abs/2406.06598
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 concepts or contexts. This notion of relatedness can be applied in various
Externí odkaz:
http://arxiv.org/abs/2405.00659