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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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Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content., , and . W-NUT@EMNLP, page 275-285. Association for Computational Linguistics, (2019)LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets., , and . SemEval@NAACL-HLT, page 123-127. Association for Computational Linguistics, (2018)LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis., , , and . SemEval@NAACL-HLT, page 719-724. The Association for Computer Linguistics, (2015)Rude waiter but mouthwatering pastries! An exploratory study into Dutch Aspect-Based Sentiment Analysis., and . LREC, European Language Resources Association (ELRA), (2016)Identifying Disputed Topics in the News., , , , and . LD4KD, volume 1232 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set., , , , and . SemEval@COLING, page 406-410. The Association for Computer Linguistics, (2014)Analysis and Reference Resolution of Bridge Anaphora across Different Text Genres., , and . DAARC, volume 7099 of Lecture Notes in Computer Science, page 1-11. Springer, (2011)Exploiting FrameNet for Content-Based Book Recommendation., , , and . CBRecSys@RecSys, volume 1245 of CEUR Workshop Proceedings, page 14-21. CEUR-WS.org, (2014)Cross-Domain Dutch Coreference Resolution., , and . RANLP, page 186-193. RANLP 2011 Organising Committee, (2011)Collection of a corpus of Dutch SMS., , , and . LREC, page 2268-2273. European Language Resources Association (ELRA), (2012)