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1st ALW@ACL 2017: Vancouver, Canada
- Zeerak Waseem, Wendy Hui Kyong Chung, Dirk Hovy, Joel R. Tetreault:
Proceedings of the First Workshop on Abusive Language Online, ALW@ACL 2017, Vancouver, BC, Canada, August 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-66-1 - Isobelle Clarke, Jack Grieve:
Dimensions of Abusive Language on Twitter. 1-10 - Varada Kolhatkar, Maite Taboada:
Constructive Language in News Comments. 11-17 - Hui-Po Su, Zhen-Jie Huang, Hao-Tsung Chang, Chuan-Jie Lin:
Rephrasing Profanity in Chinese Text. 18-24 - John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos:
Deep Learning for User Comment Moderation. 25-35 - Joan Serrà, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali:
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. 36-40 - Ji Ho Park, Pascale Fung:
One-step and Two-step Classification for Abusive Language Detection on Twitter. 41-45 - Darja Fiser, Tomaz Erjavec, Nikola Ljubesic:
Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene. 46-51 - Hamdy Mubarak, Kareem Darwish, Walid Magdy:
Abusive Language Detection on Arabic Social Media. 52-56 - Lucas Wright, Derek Ruths, Kelly P. Dillon, Haji Mohammad Saleem, Susan Benesch:
Vectors for Counterspeech on Twitter. 57-62 - Niloofar Safi Samghabadi, Suraj Maharjan, Alan P. Sprague, Raquel Diaz-Sprague, Thamar Solorio:
Detecting Nastiness in Social Media. 63-72 - George Kennedy, Andrew McCollough, Edward Dixon, Alexei Bastidas, John Ryan, Chris Loo, Saurav Sahay:
Technology Solutions to Combat Online Harassment. 73-77 - Zeerak Waseem, Thomas Davidson, Dana Warmsley, Ingmar Weber:
Understanding Abuse: A Typology of Abusive Language Detection Subtasks. 78-84 - Björn Gambäck, Utpal Kumar Sikdar:
Using Convolutional Neural Networks to Classify Hate-Speech. 85-90 - Alexis Palmer, Melissa Robinson, Kristy K. Phillips:
Illegal is not a Noun: Linguistic Form for Detection of Pejorative Nominalizations. 91-100
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