Author of the publication

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval).

, , , , , and . SemEval@NAACL-HLT, page 75-86. Association for Computational Linguistics, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Cross-Lingual and Low-Resource Sentiment Analysis.. Columbia University, USA, (2019)Scoring Persuasive Essays Using Opinions and their Targets., , and . BEA@NAACL-HLT, The Association for Computer Linguistics, (2015)SMARTies: Sentiment Models for Arabic Target entities., and . EACL (1), page 1002-1013. Association for Computational Linguistics, (2017)SemEval-2017 Task 4: Sentiment Analysis in Twitter., , and . SemEval@ACL, page 502-518. Association for Computational Linguistics, (2017)SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)., , , , , and . SemEval@NAACL-HLT, page 75-86. Association for Computational Linguistics, (2019)RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?, , , , , , , , , and 23 other author(s). CoRR, (2024)Cross-lingual sentiment transfer with limited resources., , , , and . Mach. Transl., 32 (1-2): 143-165 (2018)The Columbia System in the QALB-2014 Shared Task on Arabic Error Correction., , , , and . ANLP@EMNLP, page 160-164. Association for Computational Linguistics, (2014)Sentence-Level and Document-Level Sentiment Mining for Arabic Texts., , , and . ICDM Workshops, page 1114-1119. IEEE Computer Society, (2010)SemEval-2017 Task 4: Sentiment Analysis in Twitter, , and . (2019)cite arxiv:1912.00741Comment: sentiment analysis, Twitter, classification, quantification, ranking, English, Arabic.