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SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)A Large-Scale Semi-Supervised Dataset for Offensive Language Identification., , , , and . CoRR, (2020)PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development., , , , , , , , , and 5 other author(s). CoRR, (2023)Exploring the Efficacy of Generic Drugs in Treating Cancer., , , , , , , , , and 5 other author(s). AAAI, page 15988-15990. AAAI Press, (2021)A Multilingual Reading Comprehension System for more than 100 Languages., , , , , , , and . COLING (Demonstrations), page 41-47. International Committee on Computational Linguistics (ICCL), (2020)Detecting influencers in social media discussions.. ACM Crossroads, 21 (1): 40-45 (2014)Columbia NLP: Sentiment Slot Filling., , and . TAC, NIST, (2013)Towards Semi-Automated Annotation for Prepositional Phrase Attachment., , , , and . LREC, European Language Resources Association, (2010)SemEval-2017 Task 4: Sentiment Analysis in Twitter, , and . (2019)cite arxiv:1912.00741Comment: sentiment analysis, Twitter, classification, quantification, ranking, English, Arabic.Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media., , and . SemEval@COLING, page 198-202. The Association for Computer Linguistics, (2014)