v1v2 (latest)

Rationalizing Neural Predictions

13 June 2016

Papers citing "Rationalizing Neural Predictions"

50 / 327 papers shown

Title
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 79 6 0 08 Sep 2021
Countering Online Hate Speech: An NLP Perspective Mudit Chaudhary Chandni Saxena Helen Meng 69 20 0 07 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 106 49 0 03 Sep 2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation Lijie Wang Hao Liu Shu-ping Peng Hongxuan Tang Xinyan Xiao Ying-Cong Chen Hua Wu Haifeng Wang 60 5 0 30 Aug 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 73 7 0 29 Aug 2021
Translation Error Detection as Rationale Extraction M. Fomicheva Lucia Specia Nikolaos Aletras 107 25 0 27 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification Amrith Krishna Sebastian Riedel Andreas Vlachos 119 68 0 25 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 131 234 0 10 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 102 36 0 25 Jun 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers Zachariah Carmichael Walter J. Scheirer FAtt 81 4 0 15 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 82 8 0 15 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 76 68 0 12 Jun 2021
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features F. Ventura Salvatore Greco D. Apiletti Tania Cerquitelli 45 1 0 12 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning Piotr Pikekos Henryk Michalewski Mateusz Malinowski 78 28 0 07 Jun 2021
Exploring Distantly-Labeled Rationales in Neural Network Models Quzhe Huang Shengqi Zhu Yansong Feng Dongyan Zhao 59 10 0 03 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 97 87 0 03 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning Swarnadeep Saha Prateek Yadav Joey Tianyi Zhou ReLM LRM 96 26 0 02 Jun 2021
DoT: An efficient Double Transformer for NLP tasks with tables Syrine Krichene Thomas Müller Julian Martin Eisenschlos 73 14 0 01 Jun 2021
Distribution Matching for Rationalization Yongfeng Huang Yujun Chen Yulun Du Zhilin Yang OOD 67 18 0 01 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 78 21 0 26 May 2021
Few-Shot Upsampling for Protest Size Detection Andrew Halterman Benjamin J. Radford 34 6 0 24 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 124 22 0 11 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 87 38 0 06 May 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction P. Su Yifan Peng K. Vijay-Shanker SSL 56 36 0 28 Apr 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 119 136 0 27 Apr 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan Lyne Tchapmi Bo Long Soumya Sanyal Tanishq Gupta Xiang Ren ReLM LRM 113 11 0 18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models G. Chrysostomou Nikolaos Aletras 84 14 0 16 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning Swarnadeep Saha Prateek Yadav Lisa Bauer Joey Tianyi Zhou LRM 94 59 0 15 Apr 2021
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models Mor Geva Uri Katz Aviv Ben-Arie Jonathan Berant LRM 88 11 0 13 Apr 2021
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication André F. T. Martins 82 1 0 01 Apr 2021
Explaining the Road Not Taken Hua Shen Ting-Hao 'Kenneth' Huang FAtt XAI 64 9 0 27 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 100 68 0 23 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 120 52 0 20 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 116 239 0 15 Mar 2021
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction Aniruddh Raghu John Guttag K. Young E. Pomerantsev Adrian Dalca Collin M. Stultz 46 9 0 04 Mar 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 163 98 0 02 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 111 146 0 24 Feb 2021
Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations Ilias Chalkidis Manos Fergadiotis Nikolaos Manginas Eva Katakalou Prodromos Malakasiotis AILaw 60 27 0 26 Jan 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 98 51 0 11 Jan 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation Kushal Lakhotia Bhargavi Paranjape Asish Ghoshal Wen-tau Yih Yashar Mehdad Srini Iyer 63 28 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 97 24 0 30 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 77 122 0 27 Dec 2020
On the Granularity of Explanations in Model Agnostic NLP Interpretability Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki MILM FAtt 83 3 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 136 582 0 18 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 200 38 0 16 Dec 2020
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 43 24 0 16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 98 42 0 14 Dec 2020
A Weighted Solution to SVM Actionability and Interpretability Samuel Denton Ansaf Salleb-Aouissi 28 3 0 06 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li MILM XAI LRM FAtt 117 39 0 03 Dec 2020
Interpretable Visual Reasoning via Induced Symbolic Space Zhonghao Wang Kai Wang Mo Yu Jinjun Xiong Wen-mei W. Hwu M. Hasegawa-Johnson Humphrey Shi LRM OCL 65 20 0 23 Nov 2020