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

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

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Noura Benhajji

Jean Farra

Vera Farra

Farid Nourani

Homayoun Nouraie

 

Другие публикации лиц с тем же именем

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