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WS - 2018
Total Papers:- 1313
Total Papers accross all years:- 21866
Total Citations :- 1162
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A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content
Isuru Gunasekara |
Isar Nejadgholi |
Predictive Embeddings for Hate Speech Detection on Twitter
Rohan Kshirsagar |
Tyrus Cukuvac |
Kathy McKeown |
Susan McGregor |
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Betty van Aken |
Julian Risch |
Ralf Krestel |
Alexander Löser |
Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying
Rachele Sprugnoli |
Stefano Menini |
Sara Tonelli |
Filippo Oncini |
Enrico Piras |
Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec |
Matúš Pikuliak |
Marián Šimko |
Mária Bieliková |
Aggressive language in an online hacking forum
Andrew Caines |
Sergio Pastrana |
Alice Hutchings |
Paula Buttery |
The Effects of User Features on Twitter Hate Speech Detection
Elise Fehn Unsvåg |
Björn Gambäck |
Interpreting Neural Network Hate Speech Classifiers
Cindy Wang |
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks
Rijul Magu |
Jiebo Luo |
Comparative Studies of Detecting Abusive Language on Twitter
Younghun Lee |
Seunghyun Yoon |
Kyomin Jung |
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs
Sima Sharifirad |
Borna Jafarpour |
Stan Matwin |
Learning Representations for Detecting Abusive Language
Magnus Sahlgren |
Tim Isbister |
Fredrik Olsson |
Datasets of Slovene and Croatian Moderated News Comments
Nikola Ljubešić |
Tomaž Erjavec |
Darja Fišer |
Cross-Domain Detection of Abusive Language Online
Mladen Karan |
Jan Šnajder |
Decipherment for Adversarial Offensive Language Detection
Zhelun Wu |
Nishant Kambhatla |
Anoop Sarkar |
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