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Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media.

, , and . SemEval@COLING, page 198-202. The Association for Computer Linguistics, (2014)

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A Large-Scale Semi-Supervised Dataset for Offensive Language Identification., , , , and . CoRR, (2020)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)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)OffensEval 2023: Offensive language identification in the age of Large Language Models., , , , and . Nat. Lang. Eng., 29 (6): 1416-1435 (November 2023)PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development., , , , , , , , , and 5 other author(s). CoRR, (2023)GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions., , , , , , and . CoRR, (2022)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)