Papers
Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment
Vern R. Walker, Dina Foerster, Julia Monica Ponce et al.
Argument Component Classification for Classroom Discussions
Luca Lugini, Diane Litman
Annotating Claims in the Vaccination Debate
Benedetta Torsi, Roser Morante
An Argument-Annotated Corpus of Scientific Publications
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining
Marco Passon, Marco Lippi, Giuseppe Serra et al.
Evidence Type Classification in Randomized Controlled Trials
Tobias Mayer, Elena Cabrio, Serena Villata
ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing
Anne Lauscher, Goran Glavaš, Kai Eckert
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture
Gaku Morio, Katsuhide Fujita
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning
Andrea Galassi, Marco Lippi, Paolo Torroni
The Linguistic Ideologies of Deep Abusive Language Classification
Michael Castelle
Decipherment for Adversarial Offensive Language Detection
Zhelun Wu, Nishant Kambhatla, Anoop Sarkar
Did you offend me? Classification of Offensive Tweets in Hinglish Language
Puneet Mathur, Ramit Sawhney, Meghna Ayyar et al.
Cross-Domain Detection of Abusive Language Online
Vanja Mladen Karan, Jan Šnajder
Datasets of Slovene and Croatian Moderated News Comments
Nikola Ljubešić, Tomaž Erjavec, Darja Fišer
Learning Representations for Detecting Abusive Language
Magnus Sahlgren, Tim Isbister, Fredrik Olsson
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
Comparative Studies of Detecting Abusive Language on Twitter
Younghun Lee, Seunghyun Yoon, Kyomin Jung
Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks
Rijul Magu, Jiebo Luo
The Effects of User Features on Twitter Hate Speech Detection
Elise Fehn Unsvåg, Björn Gambäck
Aggressive language in an online hacking forum
Andrew Caines, Sergio Pastrana, Alice Hutchings et al.
Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec, Matúš Pikuliak, Marián Šimko et al.
Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying
Rachele Sprugnoli, Stefano Menini, Sara Tonelli et al.
Aggression Detection on Social Media Text Using Deep Neural Networks
Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar et al.
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Betty van Aken, Julian Risch, Ralf Krestel et al.