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The Validation of MRCPD Cross-language Expansions on Imageability Ratings.

, , , , and . LREC, European Language Resources Association (ELRA), (2016)

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Modeling Sociocultural phenomena in discourse., , , , , , , , , and . Natural Language Engineering, 19 (2): 213-257 (2013)I Stand With You: Using Emojis to Study Solidarity in Crisis Events., , , and . CoRR, (2019)TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning., and . SemEval@NAACL-HLT, page 350-357. Association for Computational Linguistics, (2018)The Anchoring Effect in Decision-Making with Visual Analytics., , , , , and . VAST, page 116-126. IEEE Computer Society, (2017)SEDAT: Sentiment and Emotion Detection in Arabic Text Using CNN-LSTM Deep Learning., , and . ICMLA, page 835-840. IEEE, (2018)Vulnerable to misinformation?: Verifi!, , , , , , , and . IUI, page 312-323. ACM, (2019)Modeling Leadership and Influence in Multi-party Online Discourse., , , , , , , , and . COLING, page 2535-2552. Indian Institute of Technology Bombay, (2012)Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora., , , , , , , , , and . SBP, volume 7812 of Lecture Notes in Computer Science, page 102-110. Springer, (2013)A New Dataset and Evaluation for Belief/Factuality., , , , , , , , , and 8 other author(s). *SEM@NAACL-HLT, page 82-91. The *SEM 2015 Organizing Committee, (2015)Revealing Contentious Concepts Across Social Groups., , , , , , and . LREC, page 2838-2841. European Language Resources Association (ELRA), (2012)