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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

24 February 2021
Sarah Wiegreffe
Ana Marasović
    XAI
ArXivPDFHTML

Papers citing "Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing"

47 / 47 papers shown
Title
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Diana Galván-Sosa
Gabrielle Gaudeau
Pride Kavumba
Yunmeng Li
Hongyi gu
Zheng Yuan
Keisuke Sakaguchi
P. Buttery
LRM
35
0
0
31 Mar 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Duc Hau Nguyen
Cyrielle Mallart
Guillaume Gravier
Pascale Sébillot
60
0
0
22 Jan 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang
Prasanna Parthasarathi
Mehdi Rezagholizadeh
Boxing Chen
Sarath Chandar
53
0
0
22 Oct 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
42
10
0
27 Jul 2024
Exploring the Trade-off Between Model Performance and Explanation
  Plausibility of Text Classifiers Using Human Rationales
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
Lucas Resck
Marcos M. Raimundo
Jorge Poco
50
1
0
03 Apr 2024
Enhancing Systematic Decompositional Natural Language Inference Using
  Informal Logic
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
Nathaniel Weir
Kate Sanders
Orion Weller
Shreya Sharma
Dongwei Jiang
...
Bhavana Dalvi
Oyvind Tafjord
Peter Alexander Jansen
Peter Clark
Benjamin Van Durme
38
10
0
22 Feb 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
56
7
0
20 Dec 2023
Language Models with Rationality
Language Models with Rationality
Nora Kassner
Oyvind Tafjord
Ashish Sabharwal
Kyle Richardson
Hinrich Schütze
Peter Clark
ReLM
KELM
LRM
20
15
0
23 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
20
1
0
22 May 2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist
  Examination
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
Dongfang Li
Jindi Yu
Baotian Hu
Zhenran Xu
Hao Fei
ELM
13
11
0
22 May 2023
Beyond Labels: Empowering Human Annotators with Natural Language
  Explanations through a Novel Active-Learning Architecture
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
Bingsheng Yao
Ishan Jindal
Lucian Popa
Yannis Katsis
Sayan Ghosh
...
Yuxuan Lu
Shashank Srivastava
Yunyao Li
James A. Hendler
Dakuo Wang
34
10
0
22 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of
  Human Natural Language Explanations
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations
Bingsheng Yao
Prithviraj Sen
Lucian Popa
James A. Hendler
Dakuo Wang
XAI
ELM
FAtt
25
10
0
04 May 2023
Understanding and Predicting Human Label Variation in Natural Language
  Inference through Explanation
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation
Nan-Jiang Jiang
Chenhao Tan
M. Marneffe
35
2
0
24 Apr 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
22
12
0
07 Mar 2023
The State of Human-centered NLP Technology for Fact-checking
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
HILM
27
61
0
08 Jan 2023
Explanation Regeneration via Information Bottleneck
Explanation Regeneration via Information Bottleneck
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
30
3
0
19 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
  Generation: A Brief Review
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
Jiangjie Chen
Yanghua Xiao
44
4
0
07 Dec 2022
Exploring Faithful Rationale for Multi-hop Fact Verification via
  Salience-Aware Graph Learning
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning
Jiasheng Si
Yingjie Zhu
Deyu Zhou
37
12
0
02 Dec 2022
Reward Gaming in Conditional Text Generation
Reward Gaming in Conditional Text Generation
Richard Yuanzhe Pang
Vishakh Padmakumar
Thibault Sellam
Ankur P. Parikh
He He
35
24
0
16 Nov 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
78
72
0
22 Oct 2022
StyLEx: Explaining Style Using Human Lexical Annotations
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Dongyeop Kang
28
3
0
14 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better
Explanations from Large Language Models Make Small Reasoners Better
Shiyang Li
Jianshu Chen
Yelong Shen
Zhiyu Zoey Chen
Xinlu Zhang
...
Jingu Qian
Baolin Peng
Yi Mao
Wenhu Chen
Xifeng Yan
ReLM
LRM
43
129
0
13 Oct 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference
  Explanations
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
29
10
0
02 Sep 2022
Generating Intermediate Steps for NLI with Next-Step Supervision
Generating Intermediate Steps for NLI with Next-Step Supervision
Deepanway Ghosal
Somak Aditya
Monojit Choudhury
LRM
35
1
0
31 Aug 2022
ferret: a Framework for Benchmarking Explainers on Transformers
ferret: a Framework for Benchmarking Explainers on Transformers
Giuseppe Attanasio
Eliana Pastor
C. Bonaventura
Debora Nozza
33
30
0
02 Aug 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
32
33
0
05 May 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language
  Explanations
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon
Sayan Ghosh
Shashank Srivastava
LRM
ELM
29
9
0
14 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei-Ye Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical
  Reasoning
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
Jiangjie Chen
Rui Xu
Ziquan Fu
Wei Shi
Zhongqiao Li
Xinbo Zhang
Changzhi Sun
Lei Li
Yanghua Xiao
Hao Zhou
ELM
23
35
0
16 Mar 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
21
142
0
16 Dec 2021
Double Trouble: How to not explain a text classifier's decisions using
  counterfactuals synthesized by masked language models?
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
Thang M. Pham
Trung H. Bui
Long Mai
Anh Totti Nguyen
21
7
0
22 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
356
0
04 Oct 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
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
Diagnostics-Guided Explanation Generation
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
38
6
0
08 Sep 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
19
31
0
22 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
22
28
0
21 May 2021
NAREOR: The Narrative Reordering Problem
NAREOR: The Narrative Reordering Problem
Varun Gangal
Steven Y. Feng
Malihe Alikhani
Teruko Mitamura
Eduard H. Hovy
30
26
0
14 Apr 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
35
48
0
20 Mar 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva
Daniel Khashabi
Elad Segal
Tushar Khot
Dan Roth
Jonathan Berant
RALM
259
677
0
06 Jan 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
282
170
0
24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
218
249
0
19 Oct 2020
Linguistically-Informed Transformations (LIT): A Method for
  Automatically Generating Contrast Sets
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
Chuanrong Li
Lin Shengshuo
Leo Z. Liu
Xinyi Wu
Xuhui Zhou
Shane Steinert-Threlkeld
VLM
130
38
0
16 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
278
622
0
04 Dec 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
190
576
0
02 May 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
200
296
0
15 Oct 2012
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