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A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

18 April 2017
Adina Williams
Nikita Nangia
Samuel R. Bowman
ArXivPDFHTML

Papers citing "A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference"

50 / 2,729 papers shown
Title
Unsupervised Pre-training with Structured Knowledge for Improving
  Natural Language Inference
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
Xiaoyu Yang
Xiao-Dan Zhu
Zhan Shi
Tianda Li
SSL
27
1
0
08 Sep 2021
What's Hidden in a One-layer Randomly Weighted Transformer?
What's Hidden in a One-layer Randomly Weighted Transformer?
Sheng Shen
Z. Yao
Douwe Kiela
Kurt Keutzer
Michael W. Mahoney
36
4
0
08 Sep 2021
Open Aspect Target Sentiment Classification with Natural Language
  Prompts
Open Aspect Target Sentiment Classification with Natural Language Prompts
Ronald Seoh
Ian Birle
Mrinal Tak
Haw-Shiuan Chang
B. Pinette
Alfred Hough
22
61
0
08 Sep 2021
Label Verbalization and Entailment for Effective Zero- and Few-Shot
  Relation Extraction
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Oscar Sainz
Oier López de Lacalle
Gorka Labaka
Ander Barrena
Eneko Agirre
16
117
0
08 Sep 2021
Sustainable Modular Debiasing of Language Models
Sustainable Modular Debiasing of Language Models
Anne Lauscher
Tobias Lüken
Goran Glavaš
60
120
0
08 Sep 2021
Discrete and Soft Prompting for Multilingual Models
Discrete and Soft Prompting for Multilingual Models
Mengjie Zhao
Hinrich Schütze
LRM
18
71
0
08 Sep 2021
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original
  Pre-training Task--Next Sentence Prediction
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction
Yi Sun
Yu Zheng
Chao Hao
Hangping Qiu
VLM
46
37
0
08 Sep 2021
On the Transferability of Pre-trained Language Models: A Study from
  Artificial Datasets
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets
Cheng-Han Chiang
Hung-yi Lee
SyDa
40
25
0
08 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT
  Compression
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
Canwen Xu
Wangchunshu Zhou
Tao Ge
Kelvin J. Xu
Julian McAuley
Furu Wei
21
41
0
07 Sep 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
Le-le Cao
Emil Larsson
Vilhelm von Ehrenheim
Dhiana Deva Cavalcanti Rocha
Anna Martin
Sonja Horn
27
5
0
07 Sep 2021
Don't Go Far Off: An Empirical Study on Neural Poetry Translation
Don't Go Far Off: An Empirical Study on Neural Poetry Translation
Tuhin Chakrabarty
Arkadiy Saakyan
Smaranda Muresan
22
16
0
07 Sep 2021
Proto: A Neural Cocktail for Generating Appealing Conversations
Proto: A Neural Cocktail for Generating Appealing Conversations
Sougata Saha
Souvik Das
Elizabeth Soper
Erin Pacquetet
Rohini Srihari
26
12
0
06 Sep 2021
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification
M Saiful Bari
Batool Haider
Saab Mansour
VLM
24
13
0
06 Sep 2021
Transformer Models for Text Coherence Assessment
Transformer Models for Text Coherence Assessment
Tushar Abhishek
Daksh Rawat
Manish Gupta
Vasudeva Varma
19
9
0
05 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
34
36
0
05 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
40
3,610
0
03 Sep 2021
Detecting Speaker Personas from Conversational Texts
Detecting Speaker Personas from Conversational Texts
Jia-Chen Gu
Zhen-Hua Ling
Yu-Huan Wu
Quan Liu
Zhigang Chen
Xiao-Dan Zhu
24
16
0
03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
64
355
0
02 Sep 2021
Does Knowledge Help General NLU? An Empirical Study
Does Knowledge Help General NLU? An Empirical Study
Ruochen Xu
Yuwei Fang
Chenguang Zhu
Michael Zeng
ELM
34
9
0
01 Sep 2021
Don't Discard All the Biased Instances: Investigating a Core Assumption
  in Dataset Bias Mitigation Techniques
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques
Hossein Amirkhani
Mohammad Taher Pilehvar
39
5
0
01 Sep 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum
  Contrast
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
Liang Wang
Wei Zhao
Jingming Liu
40
14
0
01 Sep 2021
It's not Rocket Science : Interpreting Figurative Language in Narratives
It's not Rocket Science : Interpreting Figurative Language in Narratives
Tuhin Chakrabarty
Yejin Choi
Vered Shwartz
24
55
0
31 Aug 2021
A Generative Approach for Mitigating Structural Biases in Natural
  Language Inference
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael
Zachary M. Ziegler
Yonatan Belinkov
14
8
0
31 Aug 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis
  Tools
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus
Robert Schwarzenberg
Sebastian Möller
32
14
0
31 Aug 2021
Shatter: An Efficient Transformer Encoder with Single-Headed
  Self-Attention and Relative Sequence Partitioning
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
Ran Tian
Joshua Maynez
Ankur P. Parikh
ViT
37
2
0
30 Aug 2021
Analyzing and Mitigating Interference in Neural Architecture Search
Analyzing and Mitigating Interference in Neural Architecture Search
Jin Xu
Xu Tan
Kaitao Song
Renqian Luo
Yichong Leng
Tao Qin
Tie-Yan Liu
Jian Li
MoMe
36
29
0
29 Aug 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
53
19
0
28 Aug 2021
A Survey on Automated Fact-Checking
A Survey on Automated Fact-Checking
Zhijiang Guo
M. Schlichtkrull
Andreas Vlachos
36
463
0
26 Aug 2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang
Jiahui Yu
Adams Wei Yu
Zihang Dai
Yulia Tsvetkov
Yuan Cao
VLM
MLLM
51
782
0
24 Aug 2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text
  Models
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Jianmo Ni
Gustavo Hernández Ábrego
Noah Constant
Ji Ma
Keith B. Hall
Daniel Cer
Yinfei Yang
63
532
0
19 Aug 2021
Accurate, yet inconsistent? Consistency Analysis on Language
  Understanding Models
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models
Myeongjun Jang
D. Kwon
Thomas Lukasiewicz
38
13
0
15 Aug 2021
Adaptive Multi-Resolution Attention with Linear Complexity
Adaptive Multi-Resolution Attention with Linear Complexity
Yao Zhang
Yunpu Ma
T. Seidl
Volker Tresp
20
1
0
10 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen
Siva Reddy
A. Chandar
XAI
32
225
0
10 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
47
54
0
10 Aug 2021
An Interpretable Approach to Hateful Meme Detection
An Interpretable Approach to Hateful Meme Detection
Tanvi Deshpande
Nitya Mani
VLM
8
13
0
09 Aug 2021
Language Model Evaluation in Open-ended Text Generation
Language Model Evaluation in Open-ended Text Generation
An Nguyen
49
3
0
08 Aug 2021
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field
  and Far-field Attention
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
T. Nguyen
Vai Suliafu
Stanley J. Osher
Long Chen
Bao Wang
29
35
0
05 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple
  Constraints
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar
Eric Malmi
Aliaksei Severyn
Yulia Tsvetkov
BDL
AI4CE
48
76
0
04 Aug 2021
Grounding Representation Similarity with Statistical Testing
Grounding Representation Similarity with Statistical Testing
Frances Ding
Jean-Stanislas Denain
Jacob Steinhardt
22
30
0
03 Aug 2021
From LSAT: The Progress and Challenges of Complex Reasoning
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang
Zhongkun Liu
Wanjun Zhong
Ming Zhou
Zhongyu Wei
Zhumin Chen
Nan Duan
ELM
38
44
0
02 Aug 2021
TabPert: An Effective Platform for Tabular Perturbation
TabPert: An Effective Platform for Tabular Perturbation
Nupur Jain
Vivek Gupta
Anshul Rai
G. Kumar
LMTD
22
5
0
02 Aug 2021
Local Structure Matters Most: Perturbation Study in NLU
Local Structure Matters Most: Perturbation Study in NLU
Louis Clouâtre
Prasanna Parthasarathi
Amal Zouaq
Sarath Chandar
35
13
0
29 Jul 2021
Thought Flow Nets: From Single Predictions to Trains of Model Thought
Thought Flow Nets: From Single Predictions to Trains of Model Thought
Hendrik Schuff
Heike Adel
Ngoc Thang Vu
AIFin
LRM
24
0
0
26 Jul 2021
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy
Bohong Wu
Zhuosheng Zhang
Hai Zhao
32
20
0
25 Jul 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
47
43
0
24 Jul 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors
Eugene Bagdasaryan
Vitaly Shmatikov
SILM
AAML
45
8
0
22 Jul 2021
Improved Text Classification via Contrastive Adversarial Training
Improved Text Classification via Contrastive Adversarial Training
Lin Pan
Chung-Wei Hang
Avirup Sil
Saloni Potdar
AAML
33
86
0
21 Jul 2021
The Effectiveness of Intermediate-Task Training for Code-Switched
  Natural Language Understanding
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
Archiki Prasad
Mohammad Ali Rehan
Shreyasi Pathak
Preethi Jyothi
32
9
0
21 Jul 2021
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual
  Transfer
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
Weijia Xu
Batool Haider
Jason Krone
Saab Mansour
25
7
0
21 Jul 2021
Follow Your Path: a Progressive Method for Knowledge Distillation
Follow Your Path: a Progressive Method for Knowledge Distillation
Wenxian Shi
Yuxuan Song
Hao Zhou
Bohan Li
Lei Li
17
15
0
20 Jul 2021
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