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Computational semantic analysis of language: SemEval-2014 and beyond., and . Language Resources and Evaluation, 50 (1): 1-4 (2016)Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples., , , and . RANLP, page 504-510. RANLP 2013 Organising Committee / ACL, (2013)SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids., , , , , and . SIGIR, page 1251-1252. ACM, (2016)Sentiment Analysis in Twitter: A SemEval Perspective.. WASSA@NAACL-HLT, page 171-172. The Association for Computer Linguistics, (2016)Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian., and . RANLP, page 266-274. RANLP 2015 Organising Committee / ACL, (2015)Sentiment Analysis in Twitter for Macedonian., , and . RANLP, page 249-257. RANLP 2015 Organising Committee / ACL, (2015)Combining Relational and Attributional Similarity for Semantic Relation Classification., and . RANLP, page 323-330. RANLP 2011 Organising Committee, (2011)Robust Tuning Datasets for Statistical Machine Translation., and . RANLP, page 543-550. INCOMA Ltd., (2017)SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums., , , , , and . SemEval@NAACL-HLT, page 860-869. Association for Computational Linguistics, (2019)Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection., , , , , , and . SemEval@NAACL-HLT, page 1041-1046. Association for Computational Linguistics, (2019)