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Accepted Papers

We are pleased to present the following papers 
  • Class-based Prediction Errors to Categorize Text with Out-of-vocabulary Words, Joan Serrà, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn and Athena Vakali [PDF]
  • Deep Learning for User Comment Moderation, John Pavlopoulos, Prodromos Malakasiotis and Ion Androutsopoulos [PDF]
  • One-step and Two-step Classification for Abusive Language Detection on Twitter, Ji Ho Park and Pascale Fung [PDF]
  • Legal framework, dataset and annotation schema for socially unacceptable on-line discourse practices in Slovene, Darja Fišer, Tomaž Erjavec and Nikola Ljubešić [PDF]
  • Abusive Language Detection on Arabic Social Media, Hamdy Mubarak, Kareem Darwish and Walid Magdy [PDF]
  • Dimensions of Abusive Language on Twitter. Isobelle Clarke and Dr. Jack Grieve [PDF]
  • Constructive Language in News Comments, Varada Kolhatkar and Maite Taboada [PDF]
  • Vectors for Counterspeech on Twitter, Susan Benesch, Derek Ruths, Kelly P Dillon, Haji Mohammad Saleem and Lucas Wright [PDF]
  • Detecting Nastiness in Social Media, Niloofar Safi Samghabadi, Suraj Maharjan, Alan Sprague, Raquel Diaz-Sprague and Thamar Solorio [PDF]
  • Rephrasing Profanity in Chinese Text, Huei-Po Su, Chen-Jie Huang, Hao-Tsung Chang and Chuan-Jie Lin [PDF]
  • Technology Solutions to Combat Online Harassment, George Kennedy, Andrew McCollough, Edward Dixon, Alexei Bastidas, John Ryan and Chris Loo [PDF]
  • Understanding Abuse: A Typology of Abusive Language Detection Subtasks, Zeerak Waseem, Thomas Davidson, Dana Warmsley and Ingmar Weber [PDF]
  • Using Convolutional Neural Networks to Classify Hate-Speech, Björn Gambäck and Utpal Kumar Sikdar [PDF]
  • Illegal is not a noun: Linguistic form for detection of pejorative nominalizations, Alexis Palmer, Melissa Robinson and Kristy K. Phillips [PDF]