A little goes a long way: Improving toxic language classification
despite data scarcity

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A little goes a long way: Improving toxic language classification despite data scarcity

25 September 2020

Tommi Gröndahl

Adrian Flanagan

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Papers citing "A little goes a long way: Improving toxic language classification despite data scarcity"

7 / 7 papers shown

Title
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information Zheng Hui Zhaoxiao Guo Hang Zhao Juanyong Duan Congrui Huang 145 7 0 23 Sep 2024
HateMM: A Multi-Modal Dataset for Hate Video Classification Mithun Das R. Raj Punyajoy Saha Binny Mathew Manish Gupta Animesh Mukherjee 85 36 0 06 May 2023
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 152 29 0 21 Sep 2021
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 244 105 0 19 Sep 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection Andrei Paraschiv Dumitru-Clementin Cercel M. Dascalu 56 1 0 17 Apr 2021
Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go Arnav Arora Preslav Nakov Momchil Hardalov Sheikh Muhammad Sarwar Vibha Nayak ... Dimitrina Zlatkova Kyle Dent Ameya Bhatawdekar Guillaume Bouchard Isabelle Augenstein 76 53 0 27 Feb 2021
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 137 201 0 27 Oct 2019