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Text-Based Detection of Unauthorized Users of Social Media Accounts.

, , and . Canadian AI, volume 10832 of Lecture Notes in Computer Science, page 292-297. Springer, (2018)

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Automatically Identifying Changes in the Semantic Orientation of Words., and . LREC, European Language Resources Association, (2010)Unsupervised Type and Token Identification of Idiomatic Expressions., , and . Computational Linguistics, 35 (1): 61-103 (2009)A Way with Words: Recent Advances in Lexical Theory and Analysis: A Festschrift for Patrick Hanks Gilles-Maurice de Schryver (editor) (Ghent University and University of the Western Cape)Kampala: Menha Publishers, 2010, vii+375 pp; ISBN 978-9970-10-101-6, €59.95.. Computational Linguistics, 37 (2): 403-406 (2011)An unsupervised model for text message normalization, and . CALC '09: Proceedings of the Workshop on Computational Approaches to Linguistic Creativity, page 71--78. Morristown, NJ, USA, Association for Computational Linguistics, (2009)Building and evaluating web corpora representing national varieties of English., and . Lang. Resour. Evaluation, 51 (3): 643-662 (2017)Automagically Inferring the Source Words of Lexical Blends, and . Proceedings of the Conference of the Pacific Association for Computational Linguistics, (2007)unimelb: Topic Modelling-based Word Sense Induction., , and . SemEval@NAACL-HLT, page 307-311. The Association for Computer Linguistics, (2013)UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation., , , and . SemEval@NAACL-HLT, page 732-735. The Association for Computer Linguistics, (2016)Exploring Methods and Resources for Discriminating Similar Languages., , , , , and . VarDial@COLING, page 129-138. Association for Computational Linguistics and Dublin City University, (2014)One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter., , and . EACL, page 215-220. The Association for Computer Linguistics, (2014)