Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation
via Attention Regularization

Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization

5 September 2023

Giuseppe Attanasio

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Papers citing "Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization"

10 / 10 papers shown

Title
Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering Helena Bonaldi Sara Dellantonio Serra Sinem Tekiroğlu Marco Guerini 83 44 0 07 Nov 2022
CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech Punyajoy Saha Kanishk Singh Adarsh Kumar Binny Mathew Animesh Mukherjee 50 36 0 09 May 2022
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study Serra Sinem Tekiroğlu Helena Bonaldi Margherita Fanton Marco Guerini 91 48 0 04 Apr 2022
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech Margherita Fanton Helena Bonaldi Serra Sinem Tekiroğlu Marco Guerini 71 114 0 19 Jul 2021
Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech Yi-Ling Chung Serra Sinem Tekiroğlu Marco Guerini 62 66 0 22 Jun 2021
Better Fine-Tuning by Reducing Representational Collapse Armen Aghajanyan Akshat Shrivastava Anchit Gupta Naman Goyal Luke Zettlemoyer S. Gupta AAML 76 210 0 06 Aug 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao T. Zhao 101 564 0 08 Nov 2019
Hierarchical Neural Story Generation Angela Fan M. Lewis Yann N. Dauphin DiffM 183 1,626 0 13 May 2018
Challenges in Data-to-Document Generation Sam Wiseman Stuart M. Shieber Alexander M. Rush 185 591 0 25 Jul 2017
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 285 1,339 0 05 Jun 2016

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