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pro vyhledávání: '"Nayel, Hamada"'
This paper describes the systems submitted to iSarcasm shared task. The aim of iSarcasm is to identify the sarcastic contents in Arabic and English text. Our team participated in iSarcasm for the Arabic language. A multi-Layer machine learning based
Externí odkaz:
http://arxiv.org/abs/2205.08868
Autor:
Nayel, Hamada A.
In this paper, we present the system submitted to "SemEval-2020 Task 12". The proposed system aims at automatically identify the Offensive Language in Arabic Tweets. A machine learning based approach has been used to design our system. We implemented
Externí odkaz:
http://arxiv.org/abs/2007.13339
Autor:
Nayel, Hamada A., L, Shashrekha H.
In recent years, Deep Learning (DL) models are becoming important due to their demonstrated success at overcoming complex learning problems. DL models have been applied effectively for different Natural Language Processing (NLP) tasks such as part-of
Externí odkaz:
http://arxiv.org/abs/1911.01600
Publikováno v:
International Journal of Pure and Applied Mathematics, Volume 118 No. 16, 2018
Biomedical Named Entity Recognition (BioNER) is a crucial step for analyzing Biomedical texts, which aims at extracting biomedical named entities from a given text. Different supervised machine learning algorithms have been applied for BioNER by vari
Externí odkaz:
http://arxiv.org/abs/1908.05691
Akademický článek
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Autor:
Abd Elghaffar, Rasha Y., Emam, Amany M., Taher, Ehab S., Baz, Mohamed M., Nayel, Hamada, Abdeen, Ahmed, El-Nablaway, Mohammad, Alwutayd, Khairiah M., Mihaela, Ostan, Ioan, Banatean-Dunea, Khattab, Abeer A., Al-Serwi, Rasha H., Sehim, Amira E.
Publikováno v:
Frontiers in Microbiology; 2024, p1-15, 15p
Publikováno v:
IJCSNS International Journal of Computer Science and Network Security, Vol.11 No.10, October 2011, 127-133
Multi-threaded programs have many applications which are widely used such as operating systems. Analyzing multi-threaded programs differs from sequential ones; the main feature is that many threads execute at the same time. The effect of all other ru
Externí odkaz:
http://arxiv.org/abs/1111.0640
Autor:
Shashirekha, H. L., Nayel, Hamada A.
Publikováno v:
2016 International Conference on Advances in Computing, Communications & Informatics (ICACCI); 2016, p1046-1052, 7p