Explain Yourself! Leveraging Language Models for Commonsense Reasoning

6 June 2019

Papers citing "Explain Yourself! Leveraging Language Models for Commonsense Reasoning"

49 / 399 papers shown

Title
Case Study: Deontological Ethics in NLP Shrimai Prabhumoye Brendon Boldt Ruslan Salakhutdinov A. Black AILaw 69 29 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 88 102 0 08 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 95 26 0 07 Oct 2020
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering Harsh Jhamtani Peter Clark LRM 101 71 0 07 Oct 2020
PRover: Proof Generation for Interpretable Reasoning over Rules Swarnadeep Saha Sayan Ghosh Shashank Srivastava Joey Tianyi Zhou ReLM LRM 87 78 0 06 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 110 26 0 04 Oct 2020
A Survey on Explainability in Machine Reading Comprehension Mokanarangan Thayaparan Marco Valentino André Freitas FaML 108 49 0 01 Oct 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths Haozhe Ji Pei Ke Shaohan Huang Furu Wei Minlie Huang ReLM LRM 73 24 0 24 Sep 2020
GeDi: Generative Discriminator Guided Sequence Generation Ben Krause Akhilesh Deepak Gotmare Bryan McCann N. Keskar Shafiq Joty R. Socher Nazneen Rajani 172 408 0 14 Sep 2020
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense Josef Jon Martin Fajcik Martin Docekal Pavel Smrz 74 5 0 17 Aug 2020
On Commonsense Cues in BERT for Solving Commonsense Tasks Leyang Cui Sijie Cheng Yu Wu Yue Zhang SSL CML LRM 57 15 0 10 Aug 2020
SemEval-2020 Task 4: Commonsense Validation and Explanation Cunxiang Wang Shuailong Liang Yili Jin Yilong Wang Xiao-Dan Zhu Yue Zhang LRM 141 99 0 01 Jul 2020
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION) Anandh Perumal Chenyang Huang Amine Trabelsi Osmar R. Zaïane ReLM LRM 52 4 0 29 Jun 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani Lav Varshney Caiming Xiong R. Socher Nazneen Rajani 110 295 0 26 Jun 2020
Compositional Explanations of Neurons Jesse Mu Jacob Andreas FAtt CoGe MILM 109 179 0 24 Jun 2020
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning Hongru Wang Xiangru Tang Sunny Lai Kwong Sak Leung Jia Zhu Gabriel Pui Cheong Fung K. Leung ReLM LRM 60 4 0 12 Jun 2020
NILE : Natural Language Inference with Faithful Natural Language Explanations Sawan Kumar Partha P. Talukdar XAI LRM 122 163 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 95 174 0 14 May 2020
Commonsense Evidence Generation and Injection in Reading Comprehension Ye Liu Tao Yang Zeyu You Wei Fan Philip S. Yu 74 14 0 11 May 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 86 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 54 14 0 04 May 2020
Teaching Machine Comprehension with Compositional Explanations Qinyuan Ye Xiao Huang Elizabeth Boschee Xiang Ren LRM ReLM 100 34 0 02 May 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks Nazneen Rajani Rui Zhang Y. Tan Stephan Zheng Jeremy C. Weiss Aadit Vyas Abhijit Gupta Caiming Xiong R. Socher Dragomir R. Radev ReLM LRM 73 21 0 02 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 70 101 0 01 May 2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning Edoardo Ponti Goran Glavaš Olga Majewska Qianchu Liu Ivan Vulić Anna Korhonen LRM 132 329 0 01 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 82 201 0 30 Apr 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning Tao Shen Yi Mao Pengcheng He Guodong Long Adam Trischler Weizhu Chen 84 63 0 29 Apr 2020
Semantic Graphs for Generating Deep Questions Liangming Pan Yuxi Xie Yansong Feng Tat-Seng Chua Min-Yen Kan 97 95 0 27 Apr 2020
Generating Fact Checking Explanations Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 67 200 0 13 Apr 2020
Explaining Question Answering Models through Text Generation Veronica Latcinnik Jonathan Berant LRM 101 51 0 12 Apr 2020
Unsupervised Commonsense Question Answering with Self-Talk Vered Shwartz Peter West Ronan Le Bras Chandra Bhagavatula Yejin Choi ReLM SSL AI4MH LRM 72 263 0 11 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 142 601 0 07 Apr 2020
Enhancing Review Comprehension with Domain-Specific Commonsense Aaron Traylor Chen Chen Behzad Golshan Xiaolan Wang Yuliang Li Yoshihiko Suhara Jinfeng Li Çağatay Demiralp W. Tan 18 1 0 06 Apr 2020
Generating Rationales in Visual Question Answering Hammad A. Ayyubi Md. Mehrab Tanjim Julian McAuley G. Cottrell LRM 47 6 0 04 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective Saku Sugawara Pontus Stenetorp Akiko Aizawa 54 2 0 04 Apr 2020
Unification-based Reconstruction of Multi-hop Explanations for Science Questions Marco Valentino Mokanarangan Thayaparan André Freitas 40 8 0 31 Mar 2020
Joint Reasoning for Multi-Faceted Commonsense Knowledge Yohan Chalier Simon Razniewski Gerhard Weikum LRM 134 25 0 13 Jan 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 199 1,415 0 28 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 163 640 0 08 Nov 2019
Shaping Visual Representations with Language for Few-shot Classification Jesse Mu Percy Liang Noah D. Goodman VLM 100 49 0 06 Nov 2019
Learning from Explanations with Neural Execution Tree Ziqi Wang Yujia Qin Wenxuan Zhou Jun Yan Qinyuan Ye Leonardo Neves Zhiyuan Liu Xiang Ren LRM 74 41 0 04 Nov 2019
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments D. Atkinson K. Srinivasan Chenhao Tan 79 16 0 01 Nov 2019
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason Naoya Inoue Pontus Stenetorp Kentaro Inui 155 59 0 10 Oct 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 153 1,255 0 11 Sep 2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering Shangwen Lv Daya Guo Jingjing Xu Duyu Tang Nan Duan Ming Gong Linjun Shou Daxin Jiang Guihong Cao Songlin Hu RALM 59 207 0 09 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning Bill Yuchen Lin Xinyue Chen Jamin Chen Xiang Ren 95 464 0 04 Sep 2019
EntEval: A Holistic Evaluation Benchmark for Entity Representations Mingda Chen Zewei Chu Yang Chen K. Stratos Kevin Gimpel 63 12 0 31 Aug 2019
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models Zhiquan Ye Qian Chen Wen Wang Zhenhua Ling 94 68 0 19 Aug 2019
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala M. Kalimuthu Dietrich Klakow VLM 141 136 0 22 Jul 2019