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Sentiment Analysis in Twitter: A SemEval Perspective.. WASSA@NAACL-HLT, page 171-172. The Association for Computer Linguistics, (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)Computational semantic analysis of language: SemEval-2014 and beyond., and . Language Resources and Evaluation, 50 (1): 1-4 (2016)Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications., , , , and . TACL, (2019)Predicting the Topical Stance of Media and Popular Twitter Users., , and . CoRR, (2019)Detecting Toxicity in News Articles: Application to Bulgarian., , and . CoRR, (2019)We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!, , , and . CoRR, (2018)Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015., , , , , , , , and . CoRR, (2016)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)