Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Kareem Darwish"'
Publikováno v:
International Journal of Academe and Industry Research, Vol 5, Iss 1, Pp 22-42 (2024)
This paper examines the critical role of inflation accounting in adjusting financial statements to accurately reflect the impact of inflation on the economy. The primary objectives are twofold: examine the process of restating balance sheets and inco
Externí odkaz:
https://doaj.org/article/6ad3c33c42944feb8f2a1612aa6b4a91
Publikováno v:
International Journal of Web Information Systems, 2019, Vol. 15, Issue 5, pp. 594-615.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-03-2019-0008
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 20:1-18
Diacritics (short vowels) are typically omitted when writing Arabic text, and readers have to reintroduce them to correctly pronounce words. There are two types of Arabic diacritics: The first are core-word diacritics (CW), which specify the lexical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3f0b5f33e0066c0d0aa9acccd149da
https://doi.org/10.1145/3434235
https://doi.org/10.1145/3434235
Publikováno v:
Sustainable Development. 28:1418-1430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b4d4fdd74bee18a67a502a282ba1f2c
https://doi.org/10.1002/sd.2095
https://doi.org/10.1002/sd.2095
Autor:
Llu'is Màrquez, Hamdy Mubarak, Ahmed Abdelali, Mohammed Attia, Laura Kallmeyer, Mohamed Eldesouki, Younes Samih, Kareem Darwish
Publikováno v:
Natural Language Engineering. 26:677-690
This work introduces robust multi-dialectal part of speech tagging trained on an annotated data set of Arabic tweets in four major dialect groups: Egyptian, Levantine, Gulf, and Maghrebi. We implement two different sequence tagging approaches. The fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19455d64c96dfaf82beb13aabfaa4cf8
https://doi.org/10.1017/s1351324920000078
https://doi.org/10.1017/s1351324920000078
Autor:
Hamdy Mubarak, Giovanni Da San Martino, Mohamed Eldesouki, James Glass, Alberto Barrón-Cedeño, Alessandro Moschitti, Yonatan Belinkov, Salvatore Romeo, Kareem Darwish
Publikováno v:
Information Processing & Management. 56:274-290
In this paper we focus on the problem of question ranking in community question answering (cQA) forums in Arabic. We address the task with machine learning algorithms using advanced Arabic text representations. The latter are obtained by applying tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722b2daaf82008ab6a40dcb331d530c1
https://doi.org/10.1016/j.ipm.2017.07.003
https://doi.org/10.1016/j.ipm.2017.07.003
Publikováno v:
EACL (System Demonstrations)
Scopus-Elsevier
Scopus-Elsevier
This system demonstration paper describes ASAD: Arabic Social media Analysis and unDerstanding, a suite of seven individual modules that allows users to determine dialects, sentiment, news category, offensiveness, hate speech, adult content, and spam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64d02d1ac6b0f214c11b5affc667cf4
https://doi.org/10.18653/v1/2021.eacl-demos.14
https://doi.org/10.18653/v1/2021.eacl-demos.14
Autor:
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov
With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories. Unfortunately, alongside all this useful information, there was also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa02753a553ea1feadcb2863e6e70e24
http://arxiv.org/abs/2007.07996
http://arxiv.org/abs/2007.07996
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030609740
SocInfo
SocInfo
Twitter has become a popular social media platform in the Arab region. Some users exploit this popularity by posting unwanted advertisements for their own interest. In this paper, we present a large manually annotated dataset of advertisement (Spam)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5fbbef925dea50f91038317c4bb9b6
https://doi.org/10.1007/978-3-030-60975-7_18
https://doi.org/10.1007/978-3-030-60975-7_18
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030609740
SocInfo
Lecture Notes in Computer Science
Social Informatics
SocInfo
Lecture Notes in Computer Science
Social Informatics
Through the use of Twitter, framing has become a prominent presidential campaign tool for politically active users. Framing is used to influence thoughts by evoking a particular perspective on an event. In this paper, we show that the COVID19 pandemi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59881f9d246fdb50708389c27ed3a87b
https://doi.org/10.1007/978-3-030-60975-7_25
https://doi.org/10.1007/978-3-030-60975-7_25