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ORCID2nd ALW@EMNLP 2018: Brussels, Belgium
- Darja Fiser, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem, Jacqueline Wernimont:
Proceedings of the 2nd Workshop on Abusive Language Online, ALW@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-68-1 - Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Neural Character-based Composition Models for Abuse Detection. 1-10 - Ona de Gibert, Naiara Pérez, Aitor García Pablos, Montse Cuadros:
Hate Speech Dataset from a White Supremacy Forum. 11-20 - Isuru Gunasekara, Isar Nejadgholi:
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content. 21-25 - Rohan Kshirsagar, Tyus Cukuvac, Kathy McKeown, Susan McGregor:
Predictive Embeddings for Hate Speech Detection on Twitter. 26-32 - Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser:
Challenges for Toxic Comment Classification: An In-Depth Error Analysis. 33-42 - Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava:
Aggression Detection on Social Media Text Using Deep Neural Networks. 43-50 - Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini
, Enrico Piras:
Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying. 51-59 - Andrej Svec, Matús Pikuliak, Marián Simko, Mária Bieliková:
Improving Moderation of Online Discussions via Interpretable Neural Models. 60-65 - Andrew Caines, Sergio Pastrana, Alice Hutchings, Paula Buttery:
Aggressive language in an online hacking forum. 66-74 - Elise Fehn Unsvåg, Björn Gambäck:
The Effects of User Features on Twitter Hate Speech Detection. 75-85 - Cindy Wang:
Interpreting Neural Network Hate Speech Classifiers. 86-92 - Rijul Magu, Jiebo Luo:
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks. 93-100 - Younghun Lee, Seunghyun Yoon, Kyomin Jung:
Comparative Studies of Detecting Abusive Language on Twitter. 101-106 - Sima Sharifirad, Borna Jafarpour, Stan Matwin:
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs. 107-114 - Magnus Sahlgren, Tim Isbister, Fredrik Olsson:
Learning Representations for Detecting Abusive Language. 115-123 - Nikola Ljubesic, Tomaz Erjavec, Darja Fiser:
Datasets of Slovene and Croatian Moderated News Comments. 124-131 - Mladen Karan, Jan Snajder:
Cross-Domain Detection of Abusive Language Online. 132-137 - Puneet Mathur, Ramit Sawhney, Meghna Ayyar, Rajiv Ratn Shah:
Did you offend me? Classification of Offensive Tweets in Hinglish Language. 138-148 - Zhelun Wu, Nishant Kambhatla, Anoop Sarkar:
Decipherment for Adversarial Offensive Language Detection. 149-159 - Michael Castelle:
The Linguistic Ideologies of Deep Abusive Language Classification. 160-170
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