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Simple Search
Hits 1 – 15 of 15
1
Pre-Training BERT on Arabic Tweets: Practical Considerations ...
Abdelali, Ahmed
;
Hassan, Sabit
;
Mubarak, Hamdy
. - : arXiv, 2021
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2
Cross-lingual Emotion Detection ...
Hassan, Sabit
;
Shaar, Shaden
;
Darwish, Kareem
. - : arXiv, 2021
BASE
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3
Arabic Offensive Language on Twitter: Analysis and Experiments ...
Mubarak, Hamdy
;
Rashed, Ammar
;
Darwish, Kareem
. - : arXiv, 2020
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4
Arabic Dialect Identification in the Wild ...
Abdelali, Ahmed
;
Mubarak, Hamdy
;
Samih, Younes
. - : arXiv, 2020
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5
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey ...
Rashed, Ammar
;
Kutlu, Mucahid
;
Darwish, Kareem
. - : arXiv, 2020
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6
A Panoramic Survey of Natural Language Processing in the Arab World ...
Darwish, Kareem
;
Habash, Nizar
;
Abbas, Mourad
. - : arXiv, 2020
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7
Arabic Curriculum Analysis ...
The 28th International Conference on Computational Linguistics 2020
;
Abdelali, Ahmed
;
Darwish, Kareem
. - : Underline Science Inc., 2020
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8
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model ...
Darwish, Kareem
;
Abdelali, Ahmed
;
Mubarak, Hamdy
. - : arXiv, 2020
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9
Diacritization of Maghrebi Arabic Sub-Dialects ...
Abdelali, Ahmed
;
Attia, Mohammed
;
Samih, Younes
. - : arXiv, 2018
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10
Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search
Khwileh, Ahmad
;
Way, Andy
;
Jones, Gareth J.F.
...
In: Khwileh, Ahmad, Afli, Haithem orcid:0000-0002-7449-4707 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Way, Andy orcid:0000-0001-5736-5930 (2017) Identifying effective translations for cross-lingual Arabic-to-English user-generated speech search. In: Third Arabic Natural Language Processing Workshop (WANLP), 3 Apr 2017, Valencia, Spain. (2017)
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11
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM ...
Eldesouki, Mohamed
;
Samih, Younes
;
Abdelali, Ahmed
. - : arXiv, 2017
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12
Randomized greedy inference for joint segmentation, POS tagging and dependency parsing
Zhang, Yuan
;
Li, Chengtao
;
Barzilay, Regina
;
Darwish, Kareem
In: MIT Web Domain (2015)
Abstract:
In this paper, we introduce a new approach for joint segmentation, POS tagging and dependency parsing. While joint modeling of these tasks addresses the issue of error propagation inherent in traditional pipeline archi-tectures, it also complicates the inference task. Past research has addressed this challenge by placing constraints on the scoring function. In contrast, we propose an approach that can handle arbitrarily complex scoring functions. Specifically, we employ a randomized greedy algorithm that jointly predicts segmentations, POS tags and dependency trees. Moreover, this architecture readily handles different seg-mentation tasks, such as morphological seg-mentation for Arabic and word segmentation for Chinese. The joint model outperforms the state-of-the-art systems on three datasets, obtaining 2.1% TedEval absolute gain against the best published results in the 2013 SPMRL shared task. ; United States. Army Research Office (grant number W911NF-10-1-0533) ; United States. Defense Advanced Research Projects Agency. Broad Operational Language Translation (BOLT) Program
URL:
http://hdl.handle.net/1721.1/110740
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13
Arabizi Detection and Conversion to Arabic ...
Darwish, Kareem
. - : arXiv, 2013
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14
CLIR Experiments at Maryland for TREC-2002: Evidence Combination for Arabic-English Retrieval
Darwish, Kareem
;
Oard, Douglas W.
In: DTIC (2003)
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15
CLIR Experiments at Maryland for TREC-2002: Evidence Combination for Arabic-English Retrieval
Darwish, Kareem
;
Oard, Douglas W.
In: DTIC (2002)
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