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AROMA: A Recursive Deep Learning Model for Opinion Mining in Arabic as a Low Resource Language.

, , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (4): 25:1-25:20 (2017)

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SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums., , , , , and . SemEval@NAACL-HLT, page 860-869. Association for Computational Linguistics, (2019)Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection., , , , , , and . SemEval@NAACL-HLT, page 1041-1046. Association for Computational Linguistics, (2019)A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (4): 23:1-23:21 (2017)Automatic Stance Detection Using End-to-End Memory Networks., , , , , and . NAACL-HLT, page 767-776. Association for Computational Linguistics, (2018)Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings., , , and . COLING, page 1398-1408. ACL, (2016)Predicting Factuality of Reporting and Bias of News Media Sources., , , , and . EMNLP, page 3528-3539. Association for Computational Linguistics, (2018)A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets., , , , , , , and . ANLP@ACL, page 18-25. Association for Computational Linguistics, (2015)A Survey of Opinion Mining in Arabic: A Comprehensive System Perspective Covering Challenges and Advances in Tools, Resources, Models, Applications, and Visualizations., , , , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 27:1-27:52 (2019)A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis., , , , , and . ACM Trans. Inf. Syst., 35 (1): 7:1-7:21 (2016)ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets., , , , and . CoRR, (2019)