Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference

12 August 2018

Papers citing "Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference"

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Title
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification Mario Padilla Rodriguez Mohamed Nafea 28 0 0 25 Mar 2025
Fake News Detection After LLM Laundering: Measurement and Explanation Rupak Kumar Das Jonathan Dodge 106 0 0 29 Jan 2025
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference Duc Hau Nguyen Duc Hau Nguyen Pascale Sébillot 65 5 0 23 Jan 2025
On Explaining with Attention Matrices Omar Naim Nicholas Asher 39 1 0 24 Oct 2024
Using Interpretation Methods for Model Enhancement Zhuo Chen Chengyue Jiang Kewei Tu 26 2 0 02 Apr 2024
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 41 8 0 13 Jan 2023
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification Ruixuan Tang Hanjie Chen Yangfeng Ji AAML FAtt 32 2 0 10 Dec 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts Santosh T.Y.S.S Shanshan Xu O. Ichim Matthias Grabmair 39 26 0 25 Oct 2022
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference Zixun Lan Binjie Hong Ye Ma Fei Ma 32 14 0 09 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 35 19 0 07 Jun 2022
STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation Saad Naeem Omer Beg 16 0 0 16 Apr 2022
Controlling the Focus of Pretrained Language Generation Models Jiabao Ji Yoon Kim James R. Glass Tianxing He 45 5 0 02 Mar 2022
Toward a traceable, explainable, and fairJD/Resume recommendation system Amine Barrak Bram Adams Amal Zouaq 21 2 0 02 Feb 2022
POTATO: exPlainable infOrmation exTrAcTion framewOrk Adam Kovacs Kinga Gémes Eszter Iklódi Gábor Recski 38 4 0 31 Jan 2022
An empirical user-study of text-based nonverbal annotation systems for human-human conversations Joshua Y. Kim K. Yacef 19 1 0 30 Dec 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 24 45 0 20 Oct 2021
Reason induced visual attention for explainable autonomous driving Sikai Chen Jiqian Dong Runjia Du Yujie Li Samuel Labi 34 1 0 11 Oct 2021
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition Shengfei Lyu Xingyu Wu Jinlong Li Qiuju Chen Huanhuan Chen 35 5 0 19 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 32 37 0 06 May 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning Aaron Chan Lyne Tchapmi Bo Long Soumya Sanyal Tanishq Gupta Xiang Ren ReLM LRM 32 11 0 18 Apr 2021
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 31 7 0 13 Apr 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks Hanjie Chen Song Feng Jatin Ganhotra H. Wan Chulaka Gunasekara Sachindra Joshi Yangfeng Ji 29 18 0 09 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning Jinsong Su Jialong Tang Hui Jiang Ziyao Lu Yubin Ge Linfeng Song Deyi Xiong Le Sun Jiebo Luo 6 48 0 05 Mar 2021
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 46 38 0 03 Dec 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains Eyal Shnarch Leshem Choshen Guy Moshkowich Noam Slonim R. Aharonov 94 9 0 19 Oct 2020
Understanding Neural Abstractive Summarization Models via Uncertainty Jiacheng Xu Shrey Desai Greg Durrett UQLM 14 47 0 15 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Fei Wu Jiwei Li FAtt 24 10 0 14 Oct 2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis Zhengxuan Wu Thanh-Son Nguyen Desmond C. Ong MILM 26 18 0 10 Oct 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 19 12 0 22 Aug 2020
Deep Active Learning by Model Interpretability Qiang Liu Zhaocheng Liu Xiaofang Zhu Yeliang Xiu 24 4 0 23 Jul 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 42 584 0 26 Jun 2020
Finding Experts in Transformer Models Xavier Suau Luca Zappella N. Apostoloff 15 31 0 15 May 2020
Corpus-level and Concept-based Explanations for Interpretable Document Classification Tian Shi Xuchao Zhang Ping Wang Chandan K. Reddy FAtt 24 8 0 24 Apr 2020
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Y. Hao Li Dong Furu Wei Ke Xu ViT 22 215 0 23 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 48 571 0 07 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 38 92 0 04 Apr 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 35 143 0 10 Feb 2020
A Neural Approach to Discourse Relation Signal Detection Amir Zeldes Yang Liu 11 6 0 08 Jan 2020
Understanding Multi-Head Attention in Abstractive Summarization Joris Baan Maartje ter Hoeve M. V. D. Wees Anne Schuth Maarten de Rijke AAML 27 23 0 10 Nov 2019
Interrogating the Explanatory Power of Attention in Neural Machine Translation Pooya Moradi Nishant Kambhatla Anoop Sarkar 21 16 0 30 Sep 2019
Attention Interpretability Across NLP Tasks Shikhar Vashishth Shyam Upadhyay Gaurav Singh Tomar Manaal Faruqui XAI MILM 42 176 0 24 Sep 2019
On Model Stability as a Function of Random Seed Pranava Madhyastha Dhruv Batra 45 62 0 23 Sep 2019
Human-grounded Evaluations of Explanation Methods for Text Classification Piyawat Lertvittayakumjorn Francesca Toni FAtt 15 67 0 29 Aug 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 34 0 0 01 Jul 2019
Saliency-driven Word Alignment Interpretation for Neural Machine Translation Shuoyang Ding Hainan Xu Philipp Koehn 33 55 0 25 Jun 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 45 673 0 09 Jun 2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks Xizhou Zhu Dazhi Cheng Zheng-Wei Zhang Stephen Lin Jifeng Dai 43 403 0 11 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 31 1,301 0 26 Feb 2019