ERASER: A Benchmark to Evaluate Rationalized NLP Models

8 November 2019

Papers citing "ERASER: A Benchmark to Evaluate Rationalized NLP Models"

38 / 138 papers shown

Title
Discretized Integrated Gradients for Explaining Language Models Soumya Sanyal Xiang Ren FAtt 17 53 0 31 Aug 2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation Lijie Wang Hao Liu Shu-ping Peng Hongxuan Tang Xinyan Xiao Ying Chen Hua-Hong Wu Haifeng Wang 25 5 0 30 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 21 23 0 27 Aug 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 27 457 0 26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification Amrith Krishna Sebastian Riedel Andreas Vlachos 21 61 0 25 Aug 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 27 33 0 27 Jun 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 25 35 0 25 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White W. Neiswanger 37 65 0 23 Jun 2021
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales Jiajie Zou Yuran Zhang Peiqing Jin Cheng Luo Xunyi Pan Nai Ding FaML 23 5 0 23 Jun 2021
On the Diversity and Limits of Human Explanations Chenhao Tan 19 31 0 22 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 27 51 0 16 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 46 4 0 15 Jun 2021
Pitfalls of Explainable ML: An Industry Perspective Sahil Verma Aditya Lahiri John P. Dickerson Su-In Lee XAI 16 9 0 14 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 22 66 0 12 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 21 26 0 02 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Joey Tianyi Zhou OODD LRM FAtt 18 91 0 01 Jun 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction P. Su Yifan Peng K. Vijay-Shanker SSL 34 35 0 28 Apr 2021
On the Sensitivity and Stability of Model Interpretations in NLP Fan Yin Zhouxing Shi Cho-Jui Hsieh Kai-Wei Chang FAtt 16 33 0 18 Apr 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training Shunsuke Kitada Hitoshi Iyatomi AAML 22 8 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 31 14 0 16 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning Armen Aghajanyan Anchit Gupta Akshat Shrivastava Xilun Chen Luke Zettlemoyer Sonal Gupta 33 266 0 26 Jan 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 250 677 0 06 Jan 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee 27 548 0 18 Dec 2020
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 36 644 0 17 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation Xinyan Zhao V. Vydiswaran LRM 23 37 0 16 Dec 2020
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies Weronika Hryniewska Przemysław Bombiński P. Szatkowski Paulina Tomaszewska A. Przelaskowski P. Biecek OOD 29 47 0 11 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 39 38 0 03 Dec 2020
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? Jasmijn Bastings Katja Filippova XAI LRM 37 172 0 12 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
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support Ashish Sharma Adam S. Miner David C. Atkins Tim Althoff AI4MH 25 268 0 17 Sep 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 39 578 0 26 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 29 37 0 27 May 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 11 159 0 25 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 38 370 0 30 Apr 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 232 201 0 06 Jul 2017