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pro vyhledávání: '"A, Zitouni"'
Over the past decade, different domain-specific languages (DSLs) were proposed to formally specify requirements stated in legal contracts, mainly for analysis but also for code generation. Symboleo is a promising language in that area. However, writi
Externí odkaz:
http://arxiv.org/abs/2411.15898
The PAC-Bayesian framework has significantly advanced our understanding of statistical learning, particularly in majority voting methods. However, its application to multi-view learning remains underexplored. In this paper, we extend PAC-Bayesian the
Externí odkaz:
http://arxiv.org/abs/2411.06276
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
Polarimetric synthetic aperture radar (PolSAR) images encompass valuable information that can facilitate extensive land cover interpretation and generate diverse output products. Extracting meaningful features from PolSAR data poses challenges distin
Externí odkaz:
http://arxiv.org/abs/2402.17672
In this paper, we conduct an in-depth analysis of several key factors influencing the performance of Arabic Dialect Identification NADI'2023, with a specific focus on the first subtask involving country-level dialect identification. Our investigation
Externí odkaz:
http://arxiv.org/abs/2312.10536
Sea Level Rise (SLR) is one of the most pressing challenges of climate change and has drawn noticeable research interest over the past few decades. Factors induced by global climate change such as temperature increase, have resulted in both direct an
Externí odkaz:
http://arxiv.org/abs/2312.08031
The detection of toxic language in the Arabic language has emerged as an active area of research in recent years, and reviewing the existing datasets employed for training the developed solutions has become a pressing need. This paper offers a compre
Externí odkaz:
http://arxiv.org/abs/2312.07228
This research work presents a novel dual-branch model for hyperspectral image classification that combines two streams: one for processing standard hyperspectral patches using Real-Valued Neural Network (RVNN) and the other for processing their corre
Externí odkaz:
http://arxiv.org/abs/2311.01624
Publikováno v:
Turkish Archives of Pediatrics, Vol 59, Iss 6, Pp 586-590 (2024)
Objective: The purpose of this study is to compare the surgical outcomes of open appendectomy (OA) and laparoscopic appendectomy (LA) for pediatric acute appendicitis in order to guide its future management. Materials and Methods: We conducted a r
Externí odkaz:
https://doaj.org/article/70fbad5e6e0841fe9720c7e3a4595ae0