On Cross-Dataset Generalization in Automatic Detection of Online Abuse

14 October 2020

Papers citing "On Cross-Dataset Generalization in Automatic Detection of Online Abuse"

12 / 12 papers shown

Title
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets Manuel Tonneau Diyi Liu Samuel Fraiberger Ralph Schroeder Scott A. Hale Paul Röttger 52 6 0 27 Apr 2024
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 96 259 0 09 Nov 2019
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 50 79 0 13 Aug 2019
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse David Jurgens Eshwar Chandrasekharan Libby Hemphill 61 137 0 04 Jun 2019
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) Marcos Zampieri S. Malmasi Preslav Nakov Sara Rosenthal N. Farra Ritesh Kumar 69 794 0 19 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
Challenges for Toxic Comment Classification: An In-Depth Error Analysis Betty van Aken Julian Risch Ralf Krestel Alexander Loser 61 221 0 20 Sep 2018
Learning to select data for transfer learning with Bayesian Optimization Sebastian Ruder Barbara Plank 72 184 0 17 Jul 2017
Understanding Abuse: A Typology of Abusive Language Detection Subtasks Zeerak Talat Thomas Davidson Dana Warmsley Ingmar Weber 64 473 0 28 May 2017
Automated Hate Speech Detection and the Problem of Offensive Language Thomas Davidson Dana Warmsley M. Macy Ingmar Weber 76 2,676 0 11 Mar 2017
Deceiving Google's Perspective API Built for Detecting Toxic Comments Hossein Hosseini Sreeram Kannan Baosen Zhang Radha Poovendran AAML 60 328 0 27 Feb 2017
Ex Machina: Personal Attacks Seen at Scale Ellery Wulczyn Nithum Thain Lucas Dixon 86 757 0 27 Oct 2016