Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision

7 October 2020

Papers citing "Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision"

46 / 46 papers shown

Title
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 54 162 0 30 Apr 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training Joe Stacey Pasquale Minervini Haim Dubossarsky Sebastian Riedel Tim Rocktaschel AI4CE 30 8 0 16 Apr 2020
Explaining Question Answering Models through Text Generation Veronica Latcinnik Jonathan Berant LRM 69 51 0 12 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 66 584 0 07 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets Matt Gardner Yoav Artzi Victoria Basmova Jonathan Berant Ben Bogin ... Sanjay Subramanian Reut Tsarfaty Eric Wallace Ally Zhang Ben Zhou ELM 58 84 0 06 Apr 2020
A Primer in BERTology: What we know about how BERT works Anna Rogers Olga Kovaleva Anna Rumshisky OffRL 57 1,478 0 27 Feb 2020
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches Kacper Sokol Peter A. Flach XAI 65 301 0 11 Dec 2019
Neural Module Networks for Reasoning over Text Nitish Gupta Kevin Lin Dan Roth Sameer Singh Matt Gardner NAI ReLM LRM 49 131 0 10 Dec 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering Vikas Yadav Steven Bethard Mihai Surdeanu 93 76 0 17 Nov 2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models Jay DeYoung Sarthak Jain Nazneen Rajani Eric P. Lehman Caiming Xiong R. Socher Byron C. Wallace 83 632 0 08 Nov 2019
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents Ming Tu Kevin Huang Guangtao Wang Jing-ling Huang Xiaodong He Bowen Zhou RALM 36 144 0 01 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 108 143 0 29 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt AAML 36 61 0 04 Oct 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 46 137 0 19 Sep 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning Yichen Jiang Joey Tianyi Zhou ReLM LRM 34 72 0 12 Sep 2019
What do Deep Networks Like to Read? Jonas Pfeiffer Aishwarya Kamath Iryna Gurevych Sebastian Ruder 32 3 0 10 Sep 2019
Towards Debiasing Fact Verification Models Tal Schuster Darsh J. Shah Yun Jie Serene Yeo Daniel Filizzola Enrico Santus Regina Barzilay 74 210 0 14 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 390 24,160 0 26 Jul 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 72 679 0 09 Jun 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning Sewon Min Eric Wallace Sameer Singh Matt Gardner Hannaneh Hajishirzi Luke Zettlemoyer 42 149 0 07 Jun 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 54 561 0 06 Jun 2019
Do Human Rationales Improve Machine Explanations? Julia Strout Ye Zhang Raymond J. Mooney 35 57 0 31 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 59 213 0 20 May 2019
Dynamically Fused Graph Network for Multi-hop Reasoning Yunxuan Xiao Yanru Qu Lin Qiu Hao Zhou Lei Li Weinan Zhang Yong Yu 56 191 0 16 May 2019
Understanding Dataset Design Choices for Multi-hop Reasoning Jifan Chen Greg Durrett LRM 37 97 0 27 Apr 2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop Afra Alishahi Grzegorz Chrupała Tal Linzen NAI MILM 52 64 0 05 Apr 2019
Inferring Which Medical Treatments Work from Reports of Clinical Trials Eric P. Lehman Jay DeYoung Regina Barzilay Byron C. Wallace 54 116 0 02 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 87 1,307 0 26 Feb 2019
Evidence Sentence Extraction for Machine Reading Comprehension Hai Wang Dian Yu Kai Sun Jianshu Chen Dong Yu David A. McAllester Dan Roth 53 56 0 23 Feb 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 375 634 0 04 Dec 2018
Towards Explainable NLP: A Generative Explanation Framework for Text Classification Hui Liu Qingyu Yin William Yang Wang 62 148 0 01 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 882 93,936 0 11 Oct 2018
Faithful Multimodal Explanation for Visual Question Answering Jialin Wu Raymond J. Mooney 32 91 0 08 Sep 2018
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification Wenpeng Yin Dan Roth AAML 34 73 0 10 Aug 2018
Know What You Don't Know: Unanswerable Questions for SQuAD Pranav Rajpurkar Robin Jia Percy Liang RALM ELM 179 2,818 0 11 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 70 1,849 0 31 May 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 55 317 0 20 Apr 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform Matt Gardner Joel Grus Mark Neumann Oyvind Tafjord Pradeep Dasigi Nelson F. Liu Matthew E. Peters Michael Schmitz Luke Zettlemoyer VLM 47 1,280 0 20 Mar 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 105 1,621 0 14 Mar 2018
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 91 1,167 0 06 Mar 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 81 3,922 0 06 Feb 2018
Simple and Effective Multi-Paragraph Reading Comprehension Christopher Clark Matt Gardner RALM 60 456 0 29 Oct 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 104 2,518 0 02 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 81 807 0 13 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 519 16,765 0 16 Feb 2016
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 100 1,066 0 09 Nov 2015