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IEST: WASSA-2018 Implicit Emotions Shared Task.

, , , and . WASSA@EMNLP, page 31-42. Association for Computational Linguistics, (2018)

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A Practical Guide to Sentiment Annotation: Challenges and Solutions.. WASSA@NAACL-HLT, page 174-179. The Association for Computer Linguistics, (2016)Semantic Role Labeling of Emotions in Tweets., , and . WASSA@ACL, page 32-41. The Association for Computer Linguistics, (2014)Generating Extractive Summaries of Scientific Paradigms., , , , , , and . J. Artif. Intell. Res., (2013)From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales.. CoRR, (2013)Distributional Measures of Semantic Distance: A Survey, and . CoRR, (2012)Portable Features for Classifying Emotional Text.. HLT-NAACL, page 587-591. The Association for Computational Linguistics, (2012)Crowdsourcing a Word-Emotion Association Lexicon., and . Computational Intelligence, 29 (3): 436-465 (2013)SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases., , and . SemEval@NAACL-HLT, page 42-51. The Association for Computer Linguistics, (2016)NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews., , , and . SemEval@COLING, page 437-442. The Association for Computer Linguistics, (2014)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)