CMA-R:Causal Mediation Analysis for Explaining Rumour Detection

13 February 2024

Papers citing "CMA-R:Causal Mediation Analysis for Explaining Rumour Detection"

12 / 12 papers shown

Title
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 91 244 0 02 Sep 2021
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media Yi-Ju Lu Cheng-Te Li GNN 119 394 0 24 Apr 2020
Learning to Deceive with Attention-Based Explanations Danish Pruthi Mansi Gupta Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 85 194 0 17 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 700 24,572 0 26 Jul 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 235 1,605 0 11 Jun 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 110 686 0 09 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 99 566 0 06 Jun 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 152 1,330 0 26 Feb 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,027 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Direct and Indirect Effects Judea Pearl CML 103 2,179 0 10 Jan 2013