707 citations · 798 across the 5 of their papers we have counts for
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cs.CL2019
Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary +1
This paper tackles the problem of open domain factual Arabic question answering (QA) using Wikipedia as our knowledge source. This constrains the answer of any question to be a spa…
cs.CL2019★ 36 cited
ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets
Ramy Baly, Alaa Khaddaj, Hazem Hajj +2
Sentiment analysis is a highly subjective and challenging task. Its complexity further increases when applied to the Arabic language, mainly because of the large variety of dialect…