Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

7 April 2020

Papers citing "Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?"

31 / 381 papers shown

Title
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee 47 551 0 18 Dec 2020
Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation Zelong Yang Yan Wang Piji Li Shaobin Lin Shuming Shi Shao-Lun Huang Wei Bi 20 12 0 17 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 24 22 0 16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 15 42 0 14 Dec 2020
Deep Argumentative Explanations Emanuele Albini Piyawat Lertvittayakumjorn Antonio Rago Francesca Toni AAML 26 4 0 10 Dec 2020
Efficient Estimation of Influence of a Training Instance Sosuke Kobayashi Sho Yokoi Jun Suzuki Kentaro Inui TDI 32 15 0 08 Dec 2020
Probing Multilingual BERT for Genetic and Typological Signals Taraka Rama Lisa Beinborn Steffen Eger 19 24 0 04 Nov 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 172 0 24 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs Ana Marasović Chandra Bhagavatula J. S. Park Ronan Le Bras Noah A. Smith Yejin Choi ReLM LRM 18 62 0 15 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 255 427 0 15 Oct 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 54 174 0 12 Oct 2020
Explaining Neural Matrix Factorization with Gradient Rollback Carolin (Haas) Lawrence T. Sztyler Mathias Niepert 22 12 0 12 Oct 2020
Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? Peter Hase Shiyue Zhang Harry Xie Joey Tianyi Zhou 29 99 0 08 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 15 63 0 01 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 17 219 0 25 Sep 2020
Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability Ninghao Liu Yunsong Meng Xia Hu Tie Wang Bo Long XAI FAtt 23 7 0 16 Sep 2020
QED: A Framework and Dataset for Explanations in Question Answering Matthew Lamm J. Palomaki Chris Alberti D. Andor Eunsol Choi Livio Baldini Soares Michael Collins 18 68 0 08 Sep 2020
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models Tushar Khot Daniel Khashabi Kyle Richardson Peter Clark Ashish Sabharwal ReLM 9 85 0 01 Sep 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope S. Feizi TDI 37 219 0 25 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 23 105 0 01 Jun 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 23 165 0 14 May 2020
Evaluating Explanation Methods for Neural Machine Translation Jierui Li Lemao Liu Huayang Li Guanlin Li Guoping Huang Shuming Shi 18 23 0 04 May 2020
Obtaining Faithful Interpretations from Compositional Neural Networks Sanjay Subramanian Ben Bogin Nitish Gupta Tomer Wolfson Sameer Singh Jonathan Berant Matt Gardner 19 42 0 02 May 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao M. Schlichtkrull Wilker Aziz Ivan Titov 25 90 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 43 371 0 30 Apr 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 0 16 Mar 2020
Model Agnostic Multilevel Explanations Karthikeyan N. Ramamurthy B. Vinzamuri Yunfeng Zhang Amit Dhurandhar 26 41 0 12 Mar 2020
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 50 627 0 08 Nov 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,696 0 28 Feb 2017