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2005.12116
Cited By
NILE : Natural Language Inference with Faithful Natural Language Explanations
25 May 2020
Sawan Kumar
Partha P. Talukdar
XAI
LRM
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Papers citing
"NILE : Natural Language Inference with Faithful Natural Language Explanations"
48 / 98 papers shown
Title
Investigating the Benefits of Free-Form Rationales
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Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
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Anton Belyy
Amjad Almahairi
Madian Khabsa
Luke Zettlemoyer
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27
13
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Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Joe Stacey
Pasquale Minervini
Haim Dubossarsky
Marek Rei
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14
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23 May 2022
A survey on improving NLP models with human explanations
Mareike Hartmann
Daniel Sonntag
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40
21
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19 Apr 2022
Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies
Angela Fan
Claire Gardent
27
4
0
12 Apr 2022
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
Zichao Li
Prakhar Sharma
Xing Han Lù
Jackie C.K. Cheung
Siva Reddy
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25
26
0
06 Apr 2022
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
34
10
0
31 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings
G. Chrysostomou
Nikolaos Aletras
LRM
17
27
0
28 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
28
399
0
20 Jan 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan
Maziar Sanjabi
Lambert Mathias
L Tan
Shaoliang Nie
Xiaochang Peng
Xiang Ren
Hamed Firooz
46
42
0
16 Dec 2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Yordan Yordanov
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
33
18
0
12 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
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AI4CE
83
1,039
0
01 Nov 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
21
45
0
20 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
51
16
0
14 Oct 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu
Zi Xuan Zhang
Atharva Naik
Zhijian Mei
Mauajama Firdaus
Lili Mou
LRM
NAI
49
14
0
18 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Hendrik Schuff
Hsiu-yu Yang
Heike Adel
Ngoc Thang Vu
ELM
ReLM
LRM
49
13
0
16 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
58
14
0
14 Sep 2021
D-REX: Dialogue Relation Extraction with Explanations
Alon Albalak
Varun R. Embar
Yi-Lin Tuan
Lise Getoor
Wenjie Wang
67
9
0
10 Sep 2021
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
43
6
0
08 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain!
Myeongjun Jang
Thomas Lukasiewicz
LRM
26
7
0
29 Aug 2021
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
Ernie Chang
Xiaoyu Shen
Alex Marin
Vera Demberg
24
9
0
14 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen
Siva Reddy
A. Chandar
XAI
27
225
0
10 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
27
35
0
25 Jun 2021
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations
Witold Oleszkiewicz
Dominika Basaj
Igor Sieradzki
Michal Górszczak
Barbara Rychalska
K. Lewandowska
Tomasz Trzciñski
Bartosz Zieliñski
SSL
42
3
0
21 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
24
26
0
02 Jun 2021
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
26
100
0
08 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
Marco Valentino
Ian Pratt-Hartman
André Freitas
XAI
LRM
23
12
0
05 May 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi
Zehua Li
Verónica Pérez-Rosas
Rada Mihalcea
32
14
0
27 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
43
48
0
20 Mar 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
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato
Alejandro Martín
David Camacho
27
11
0
17 Mar 2021
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
Miruna Clinciu
Arash Eshghi
H. Hastie
56
54
0
15 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
19
142
0
24 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase
Joey Tianyi Zhou
XAI
25
87
0
03 Feb 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia
Bhargavi Paranjape
Asish Ghoshal
Wen-tau Yih
Yashar Mehdad
Srini Iyer
25
27
0
31 Dec 2020
LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao
V. Vydiswaran
LRM
31
38
0
16 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
15
42
0
14 Dec 2020
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
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
13
126
0
10 Nov 2020
Biased TextRank: Unsupervised Graph-Based Content Extraction
Ashkan Kazemi
Verónica Pérez-Rosas
Rada Mihalcea
25
30
0
02 Nov 2020
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
282
172
0
24 Oct 2020
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
ReLM
LRM
18
62
0
15 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
29
99
0
08 Oct 2020
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
17
50
0
01 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
287
625
0
04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
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304
7,005
0
20 Apr 2018
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