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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)

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Extracting Lexically Divergent Paraphrases from Twitter., , , , and . TACL, (2014)What Is This, Anyway: Automatic Hypernym Discovery., , and . AAAI Spring Symposium: Learning by Reading and Learning to Read, page 88-93. AAAI, (2009)SemEval-2014 Task 9: Sentiment Analysis in Twitter., , , and . SemEval@COLING, page 73-80. The Association for Computer Linguistics, (2014)Adversarial Learning for Neural Dialogue Generation., , , , and . CoRR, (2017)Named Entity Recognition in Tweets: An Experimental Study., , , and . EMNLP, page 1524-1534. ACL, (2011)SemEval-2014 Task 9: Sentiment Analysis in Twitter., , , and . CoRR, (2019)Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts., , , and . EMNLP (1), page 4846-4862. Association for Computational Linguistics, (2021)Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts., , , , , , , and . Language Resources and Evaluation, 50 (1): 35-65 (2016)Never-Ending Learning., , , , , , , , , and 15 other author(s). AAAI, page 2302-2310. AAAI Press, (2015)SemEval-2013 Task 2: Sentiment Analysis in Twitter., , , , , and . CoRR, (2019)