Extractive Adversarial Networks: High-Recall Explanations for
Identifying Personal Attacks in Social Media Posts

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Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts

1 September 2018

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Papers citing "Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts"

13 / 13 papers shown

Title
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 59 6 0 15 Jan 2023
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making Max Schemmer Patrick Hemmer Maximilian Nitsche Niklas Kühl Michael Vossing 73 58 0 10 May 2022
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 117 25 0 30 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 87 43 0 26 Oct 2021
Countering Online Hate Speech: An NLP Perspective Mudit Chaudhary Chandni Saxena Helen Meng 57 20 0 07 Sep 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 88 33 0 22 Jun 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 78 146 0 24 Feb 2021
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 196 37 0 16 Dec 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 71 49 0 09 Oct 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 242 206 0 22 Mar 2020
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 135 145 0 29 Oct 2019
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse David Jurgens Eshwar Chandrasekharan Libby Hemphill 83 138 0 04 Jun 2019
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 194 601 0 31 Oct 2017