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Interpreting Deep Learning Models in Natural Language Processing: A Review

20 October 2021

Diyi Yang

Jiwei Li

Papers citing "Interpreting Deep Learning Models in Natural Language Processing: A Review"

50 / 171 papers shown

Title
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information Zijun Sun Xiaoya Li Xiaofei Sun Yuxian Meng Xiang Ao Qing He Leilei Gan Jiwei Li SSeg 111 188 0 30 Jun 2021
Model Explainability in Deep Learning Based Natural Language Processing Shafie Gholizadeh Nengfeng Zhou 55 20 0 14 Jun 2021
Distribution Matching for Rationalization Yongfeng Huang Yujun Chen Yulun Du Zhilin Yang OOD 59 17 0 01 Jun 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li Leilei Gan 109 234 0 12 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 103 21 0 11 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 103 79 0 30 Apr 2021
Entailment as Few-Shot Learner Sinong Wang Han Fang Madian Khabsa Hanzi Mao Hao Ma 73 184 0 29 Apr 2021
Lessons on Parameter Sharing across Layers in Transformers Sho Takase Shun Kiyono 53 87 0 13 Apr 2021
Probing BERT in Hyperbolic Spaces Boli Chen Yao Fu Guangwei Xu Pengjun Xie Chuanqi Tan Mosha Chen L. Jing 61 60 0 08 Apr 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 65 67 0 23 Mar 2021
Contrastive Explanations for Model Interpretability Alon Jacovi Swabha Swayamdipta Shauli Ravfogel Yanai Elazar Yejin Choi Yoav Goldberg 124 98 0 02 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 101 229 0 25 Feb 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 118 116 0 31 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 204 682 0 28 Dec 2020
Efficient Estimation of Influence of a Training Instance Sosuke Kobayashi Sho Yokoi Jun Suzuki Kentaro Inui TDI 77 15 0 08 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 87 38 0 03 Dec 2020
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 78 60 0 27 Oct 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 313 182 0 24 Oct 2020
Explaining and Improving Model Behavior with k Nearest Neighbor Representations Nazneen Rajani Ben Krause Wengpeng Yin Tong Niu R. Socher Caiming Xiong FAtt 57 33 0 18 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 63 10 0 14 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 64 102 0 08 Oct 2020
Towards Interpretable Reasoning over Paragraph Effects in Situation Mucheng Ren Xiubo Geng Tao Qin Heyan Huang Daxin Jiang LRM 21 3 0 03 Oct 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention Ikuya Yamada Akari Asai Hiroyuki Shindo Hideaki Takeda Yuji Matsumoto 98 671 0 02 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen Yangfeng Ji AAML VLM 87 66 0 01 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking Michael Schlichtkrull Nicola De Cao Ivan Titov AI4CE 91 220 0 01 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 186 1,600 0 30 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 84 599 0 26 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 60 106 0 01 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 873 42,379 0 28 May 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport Kyle Swanson L. Yu Tao Lei OT 50 37 0 27 May 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 95 163 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 77 174 0 14 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 59 101 0 01 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 82 164 0 30 Apr 2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking Nicola De Cao Michael Schlichtkrull Wilker Aziz Ivan Titov 45 92 0 30 Apr 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 69 201 0 30 Apr 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 73 90 0 24 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution Gary S. W. Goh Sebastian Lapuschkin Leander Weber Wojciech Samek Alexander Binder FAtt 62 35 0 22 Apr 2020
Dense Passage Retrieval for Open-Domain Question Answering Vladimir Karpukhin Barlas Oğuz Sewon Min Patrick Lewis Ledell Yu Wu Sergey Edunov Danqi Chen Wen-tau Yih RALM 201 3,786 0 10 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 127 600 0 07 Apr 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 92 95 0 04 Apr 2020
A Primer in BERTology: What we know about how BERT works Anna Rogers Olga Kovaleva Anna Rumshisky OffRL 92 1,498 0 27 Feb 2020
Incorporating BERT into Neural Machine Translation Jinhua Zhu Yingce Xia Lijun Wu Di He Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu FedML AIMat 42 360 0 17 Feb 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Wu Qinghong Han Leilei Gan Jiwei Li VLM 148 68 0 08 Feb 2020
Towards a Human-like Open-Domain Chatbot Daniel De Freitas Minh-Thang Luong David R. So Jamie Hall Noah Fiedel ... Zi Yang Apoorv Kulshreshtha Gaurav Nemade Yifeng Lu Quoc V. Le 116 939 0 27 Jan 2020
Retrospective Reader for Machine Reading Comprehension Zhuosheng Zhang Junjie Yang Hai Zhao RALM 74 227 0 27 Jan 2020
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making Yunfeng Zhang Q. V. Liao Rachel K. E. Bellamy 83 680 0 07 Jan 2020
oLMpics -- On what Language Model Pre-training Captures Alon Talmor Yanai Elazar Yoav Goldberg Jonathan Berant LRM 103 304 0 31 Dec 2019
Do Attention Heads in BERT Track Syntactic Dependencies? Phu Mon Htut Jason Phang Shikha Bordia Samuel R. Bowman 78 137 0 27 Nov 2019
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering Akari Asai Kazuma Hashimoto Hannaneh Hajishirzi R. Socher Caiming Xiong RALM KELM LRM 115 289 0 24 Nov 2019