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

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

1 September 2018
Samuel Carton
Qiaozhu Mei
Paul Resnick
    FAtt
    AAML
ArXivPDFHTML

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

5 / 5 papers shown
Title
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in
  Human-AI Decision-Making
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
19
55
0
10 May 2022
What to Learn, and How: Toward Effective Learning from Rationales
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
24
22
0
30 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
18
41
0
26 Oct 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
16
31
0
22 Jun 2021
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
11
139
0
29 Oct 2019
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