e-SNLI: Natural Language Inference with Natural Language Explanations

4 December 2018

Papers citing "e-SNLI: Natural Language Inference with Natural Language Explanations"

50 / 425 papers shown

Title
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 27 1 0 05 Apr 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 27 9 0 27 Mar 2021
Zero-shot Sequence Labeling for Transformer-based Sentence Classifiers Kamil Bujel H. Yannakoudakis Marek Rei VLM 19 8 0 26 Mar 2021
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2 Gregor Betz Kyle Richardson Christian Voigt ReLM LRM 24 30 0 24 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 19 65 0 23 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 38 48 0 20 Mar 2021
SILT: Efficient transformer training for inter-lingual inference Javier Huertas-Tato Alejandro Martín David Camacho 27 11 0 17 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations Miruna Clinciu Arash Eshghi H. Hastie 53 54 0 15 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 36 226 0 15 Mar 2021
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length Ethan Perez Douwe Kiela Kyunghyun Cho 24 24 0 05 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 16 141 0 24 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 25 87 0 03 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 269 346 0 01 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 41 102 0 31 Dec 2020
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation Kushal Lakhotia Bhargavi Paranjape Asish Ghoshal Wen-tau Yih Yashar Mehdad Srini Iyer 25 27 0 31 Dec 2020
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA Ana Valeria González Gagan Bansal Angela Fan Robin Jia Yashar Mehdad Srini Iyer AAML 31 24 0 30 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 33 119 0 27 Dec 2020
To what extent do human explanations of model behavior align with actual model behavior? Grusha Prasad Yixin Nie Joey Tianyi Zhou Robin Jia Douwe Kiela Adina Williams 31 28 0 24 Dec 2020
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language Oyvind Tafjord Bhavana Dalvi Peter Clark 21 256 0 24 Dec 2020
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee 32 548 0 18 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation Xinyan Zhao V. Vydiswaran LRM 28 37 0 16 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 133 35 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
An Investigation of Language Model Interpretability via Sentence Editing Samuel Stevens Yu-Chuan Su LRM 15 8 0 28 Nov 2020
Explainable Automated Fact-Checking: A Survey Neema Kotonya Francesca Toni 6 112 0 07 Nov 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 Oct 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 37 113 0 16 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
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering Hendrik Schuff Heike Adel Ngoc Thang Vu ELM 16 18 0 13 Oct 2020
Evaluating and Characterizing Human Rationales Samuel Carton Anirudh Rathore Chenhao Tan 22 48 0 09 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 26 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 to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering Harsh Jhamtani Peter Clark LRM 18 70 0 07 Oct 2020
PRover: Proof Generation for Interpretable Reasoning over Rules Swarnadeep Saha Sayan Ghosh Shashank Srivastava Joey Tianyi Zhou ReLM LRM 34 77 0 06 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 33 26 0 04 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
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 12 50 0 01 Oct 2020
Case-Based Abductive Natural Language Inference Marco Valentino Mokanarangan Thayaparan André Freitas 20 5 0 30 Sep 2020
XTE: Explainable Text Entailment V. S. Silva André Freitas Siegfried Handschuh 28 6 0 25 Sep 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
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt 23 23 0 23 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 16 68 0 08 Sep 2020
Compositional Explanations of Neurons Jesse Mu Jacob Andreas FAtt CoGe MILM 14 172 0 24 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 13 159 0 25 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 23 164 0 14 May 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 46 43 0 05 May 2020
What-if I ask you to explain: Explaining the effects of perturbations in procedural text Dheeraj Rajagopal Niket Tandon Bhavana Dalvi Peter Clarke Eduard H. Hovy 28 14 0 04 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 19 34 0 02 May 2020