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Exploring Implicit Sentiment Evoked by Fine-grained News Events., , and . WASSA@EACL, page 138-148. Association for Computational Linguistics, (2021)Irony Detection for Dutch: a Venture into the Implicit., , , and . WASSA@ACL, page 172-181. Association for Computational Linguistics, (2022)Variation in the Expression and Annotation of Emotions: A Wizard of Oz Pilot Study., , , and . NLPerspectives@LREC, page 66-72. European Language Resources Association, (2022)Five Languages Are Better Than One: An Attempt to Bypass the Data Acquisition Bottleneck for WSD., , and . CICLing (1), volume 7816 of Lecture Notes in Computer Science, page 343-354. Springer, (2013)Machine learning for modeling Dutch pronunciation variation., , and . CLIN, UILOTS Utrecht, (1999)Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch., , and . RANLP, page 346-357. INCOMA Ltd., (2021)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: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally., , and . SemEval@NAACL-HLT, page 684-688. The Association for Computer Linguistics, (2015)LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis., , , and . SemEval@NAACL-HLT, page 719-724. The Association for Computer Linguistics, (2015)SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation., and . SemEval@NAACL-HLT, page 158-166. The Association for Computer Linguistics, (2013)