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Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Explain Yourself! Leveraging Language Models for Commonsense Reasoning

6 June 2019
Nazneen Rajani
Bryan McCann
Caiming Xiong
R. Socher
    ReLMLRM
ArXiv (abs)PDFHTML

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

50 / 399 papers shown
Title
Generating Hypothetical Events for Abductive Inference
Generating Hypothetical Events for Abductive Inference
Debjit Paul
Anette Frank
ReLMLRM
60
7
0
07 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLMLRM
92
26
0
02 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen
Kevin Lu
Aravind Rajeswaran
Kimin Lee
Aditya Grover
Michael Laskin
Pieter Abbeel
A. Srinivas
Igor Mordatch
OffRL
196
1,667
0
02 Jun 2021
Conversational Question Answering: A Survey
Conversational Question Answering: A Survey
Munazza Zaib
Wei Emma Zhang
Quan Z. Sheng
A. Mahmood
Yang Zhang
89
91
0
02 Jun 2021
A Semantic-based Method for Unsupervised Commonsense Question Answering
A Semantic-based Method for Unsupervised Commonsense Question Answering
Yilin Niu
Fei Huang
Jiaming Liang
Wenkai Chen
Xiaoyan Zhu
Minlie Huang
LRM
84
13
0
31 May 2021
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
Encoding Explanatory Knowledge for Zero-shot Science Question Answering
Zili Zhou
Marco Valentino
Dónal Landers
André Freitas
86
7
0
12 May 2021
Incorporating Commonsense Knowledge Graph in Pretrained Models for
  Social Commonsense Tasks
Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks
Ting-Yun Chang
Yang Liu
Karthik Gopalakrishnan
Behnam Hedayatnia
Pei Zhou
Dilek Z. Hakkani-Tür
ReLMAI4MHLRM
84
37
0
12 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
112
101
0
08 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments?
  Verifying Entailment in Explainable NLI Gold Standards
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
Marco Valentino
Ian Pratt-Hartman
André Freitas
XAILRM
84
11
0
05 May 2021
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense
  Reasoning Tasks
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks
Lisa Bauer
Mohit Bansal
48
19
0
20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
304
185
0
18 Apr 2021
Flexible Generation of Natural Language Deductions
Flexible Generation of Natural Language Deductions
Kaj Bostrom
Xinyu Zhao
Swarat Chaudhuri
Greg Durrett
ReLMLRM
317
33
0
18 Apr 2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense
  Reasoning
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan
Lyne Tchapmi
Bo Long
Soumya Sanyal
Tanishq Gupta
Xiang Ren
ReLMLRM
110
11
0
18 Apr 2021
Explaining Answers with Entailment Trees
Explaining Answers with Entailment Trees
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Zhengnan Xie
Hannah Smith
Leighanna Pipatanangkura
Peter Clark
ReLMFAttLRM
313
186
0
17 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
75
48
0
16 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured
  Commonsense Reasoning
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Swarnadeep Saha
Prateek Yadav
Lisa Bauer
Joey Tianyi Zhou
LRM
90
59
0
15 Apr 2021
NAREOR: The Narrative Reordering Problem
NAREOR: The Narrative Reordering Problem
Varun Gangal
Steven Y. Feng
Malihe Alikhani
Teruko Mitamura
Eduard H. Hovy
98
26
0
14 Apr 2021
Explaining the Road Not Taken
Explaining the Road Not Taken
Hua Shen
Ting-Hao 'Kenneth' Huang
FAttXAI
64
9
0
27 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
Dheeraj Rajagopal
Vidhisha Balachandran
Eduard H. Hovy
Yulia Tsvetkov
MILMSSLFAttAI4TS
90
67
0
23 Mar 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense
  Knowledge Resources
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
Ninareh Mehrabi
Pei Zhou
Fred Morstatter
Jay Pujara
Xiang Ren
Aram Galstyan
AILaw
143
45
0
21 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
120
51
0
20 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language
  Explanations
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
Miruna Clinciu
Arash Eshghi
H. Hastie
105
57
0
15 Mar 2021
Rissanen Data Analysis: Examining Dataset Characteristics via
  Description Length
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Ethan Perez
Douwe Kiela
Kyunghyun Cho
82
24
0
05 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models
Benchmarking and Survey of Explanation Methods for Black Box Models
F. Bodria
F. Giannotti
Riccardo Guidotti
Francesca Naretto
D. Pedreschi
S. Rinzivillo
XAI
127
234
0
25 Feb 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural
  Language Processing
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
93
146
0
24 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for
  Understanding the Roles of Explanation Data
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
132
89
0
03 Feb 2021
Understanding in Artificial Intelligence
Understanding in Artificial Intelligence
S. Maetschke
D. M. Iraola
Pieter Barnard
Elaheh Shafieibavani
Peter Zhong
Ying Xu
Antonio Jimeno Yepes
ELMVLM
46
0
0
17 Jan 2021
Reasoning over Vision and Language: Exploring the Benefits of
  Supplemental Knowledge
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge
Violetta Shevchenko
Damien Teney
A. Dick
Anton Van Den Hengel
83
28
0
15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
186
178
0
13 Jan 2021
Benchmarking Knowledge-Enhanced Commonsense Question Answering via
  Knowledge-to-Text Transformation
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
Ning Bian
Xianpei Han
Bo Chen
Le Sun
ELM
49
43
0
04 Jan 2021
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense
  Generation
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
Yiran Xing
Z. Shi
Zhao Meng
Gerhard Lakemeyer
Yunpu Ma
Roger Wattenhofer
VLM
128
40
0
02 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
133
116
0
31 Dec 2020
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale
  Generation
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
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
93
24
0
30 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross
Ana Marasović
Matthew E. Peters
75
122
0
27 Dec 2020
To what extent do human explanations of model behavior align with actual
  model behavior?
To what extent do human explanations of model behavior align with actual model behavior?
Grusha Prasad
Yixin Nie
Joey Tianyi Zhou
Robin Jia
Douwe Kiela
Adina Williams
73
28
0
24 Dec 2020
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence
  Refinement
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
Yinya Huang
Meng Fang
Xunlin Zhan
Qingxing Cao
Xiaodan Liang
Liang Lin
64
9
0
24 Dec 2020
ProofWriter: Generating Implications, Proofs, and Abductive Statements
  over Natural Language
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
116
278
0
24 Dec 2020
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew
Punyajoy Saha
Seid Muhie Yimam
Chris Biemann
Pawan Goyal
Animesh Mukherjee
129
582
0
18 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation
LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao
V. Vydiswaran
LRM
115
40
0
16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant
  Supervision
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
98
42
0
14 Dec 2020
Self-Explaining Structures Improve NLP Models
Self-Explaining Structures Improve NLP Models
Zijun Sun
Chun Fan
Qinghong Han
Xiaofei Sun
Yuxian Meng
Leilei Gan
Jiwei Li
MILMXAILRMFAtt
117
38
0
03 Dec 2020
An Enhanced Knowledge Injection Model for Commonsense Generation
An Enhanced Knowledge Injection Model for Commonsense Generation
Zhihao Fan
Yeyun Gong
Zhongyu Wei
Siyuan Wang
Ya-Chieh Huang
Jian Jiao
Xuanjing Huang
Nan Duan
Ruofei Zhang
70
28
0
01 Dec 2020
An Investigation of Language Model Interpretability via Sentence Editing
An Investigation of Language Model Interpretability via Sentence Editing
Samuel Stevens
Yu-Chuan Su
LRM
39
9
0
28 Nov 2020
Improving Commonsense Question Answering by Graph-based Iterative
  Retrieval over Multiple Knowledge Sources
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources
Qianglong Chen
Feng Ji
Haiqing Chen
Yin Zhang
KELMRALM
65
29
0
05 Nov 2020
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
  Reasoning Steps
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
RALMLRM
100
469
0
02 Nov 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
339
182
0
24 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From
  Pixels to Semantic Frames to Commonsense Graphs
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Ana Marasović
Chandra Bhagavatula
J. S. Park
Ronan Le Bras
Noah A. Smith
Yejin Choi
ReLMLRM
99
62
0
15 Oct 2020
Beyond Language: Learning Commonsense from Images for Reasoning
Beyond Language: Learning Commonsense from Images for Reasoning
Wanqing Cui
Yanyan Lan
Liang Pang
Jiafeng Guo
Xueqi Cheng
LRM
71
5
0
10 Oct 2020
Evaluating and Characterizing Human Rationales
Evaluating and Characterizing Human Rationales
Samuel Carton
Anirudh Rathore
Chenhao Tan
74
49
0
09 Oct 2020
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