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Breaking NLI Systems with Sentences that Require Simple Lexical
  Inferences

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences

6 May 2018
Max Glockner
Vered Shwartz
Yoav Goldberg
    NAI
ArXivPDFHTML

Papers citing "Breaking NLI Systems with Sentences that Require Simple Lexical Inferences"

50 / 101 papers shown
Title
Android Security using NLP Techniques: A Review
Android Security using NLP Techniques: A Review
Sevil Sen
Burcu Can
AAML
22
4
0
07 Jul 2021
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
21
13
0
14 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAI
AI4CE
38
11
0
02 Jun 2021
Evaluating Gender Bias in Natural Language Inference
Evaluating Gender Bias in Natural Language Inference
Shanya Sharma
Manan Dey
Koustuv Sinha
22
41
0
12 May 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
39
799
0
07 May 2021
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
Arie Cattan
Sophie Johnson
Daniel S. Weld
Ido Dagan
Iz Beltagy
Doug Downey
Tom Hope
25
23
0
18 Apr 2021
Back to Square One: Artifact Detection, Training and Commonsense
  Disentanglement in the Winograd Schema
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema
Yanai Elazar
Hongming Zhang
Yoav Goldberg
Dan Roth
ReLM
LRM
42
44
0
16 Apr 2021
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model
  Performance
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance
Aarne Talman
Marianna Apidianaki
S. Chatzikyriakidis
Jörg Tiedemann
25
10
0
10 Apr 2021
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
Abhilasha Ravichander
Siddharth Dalmia
Maria Ryskina
Florian Metze
Eduard H. Hovy
A. Black
ELM
29
32
0
16 Feb 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and
  Improving Models
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu
Marco Tulio Ribeiro
Jeffrey Heer
Daniel S. Weld
41
240
0
01 Jan 2021
HateCheck: Functional Tests for Hate Speech Detection Models
HateCheck: Functional Tests for Hate Speech Detection Models
Paul Röttger
B. Vidgen
Dong Nguyen
Zeerak Talat
Helen Z. Margetts
J. Pierrehumbert
31
259
0
31 Dec 2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
ANLIzing the Adversarial Natural Language Inference Dataset
ANLIzing the Adversarial Natural Language Inference Dataset
Adina Williams
Tristan Thrush
Douwe Kiela
AAML
174
46
0
24 Oct 2020
Improving Robustness by Augmenting Training Sentences with
  Predicate-Argument Structures
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
N. Moosavi
M. Boer
Prasetya Ajie Utama
Iryna Gurevych
19
13
0
23 Oct 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced
  Pairwise Tasks
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann
Robin Jia
Percy Liang
10
15
0
10 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng
Varun Gangal
Dongyeop Kang
Teruko Mitamura
Eduard H. Hovy
6
73
0
05 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAI
FAtt
28
26
0
04 Oct 2020
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
19
184
0
14 Jul 2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and
  Future Directions
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
Stephen Roller
Y-Lan Boureau
Jason Weston
Antoine Bordes
Emily Dinan
...
Kurt Shuster
Eric Michael Smith
Arthur Szlam
Jack Urbanek
Mary Williamson
LLMAG
AI4CE
28
51
0
22 Jun 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
36
30
0
02 May 2020
Experience Grounds Language
Experience Grounds Language
Yonatan Bisk
Ari Holtzman
Jesse Thomason
Jacob Andreas
Yoshua Bengio
...
Angeliki Lazaridou
Jonathan May
Aleksandr Nisnevich
Nicolas Pinto
Joseph P. Turian
19
351
0
21 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial
  Examples
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Maximilian Mozes
Pontus Stenetorp
Bennett Kleinberg
Lewis D. Griffin
AAML
25
99
0
13 Apr 2020
Translation Artifacts in Cross-lingual Transfer Learning
Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe
Gorka Labaka
Eneko Agirre
19
114
0
09 Apr 2020
Evaluating Models' Local Decision Boundaries via Contrast Sets
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner
Yoav Artzi
Victoria Basmova
Jonathan Berant
Ben Bogin
...
Sanjay Subramanian
Reut Tsarfaty
Eric Wallace
Ally Zhang
Ben Zhou
ELM
35
84
0
06 Apr 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
43
23
0
05 Mar 2020
A Hierarchy of Limitations in Machine Learning
A Hierarchy of Limitations in Machine Learning
M. Malik
15
55
0
12 Feb 2020
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
11
95
0
06 Jan 2020
Adversarial Analysis of Natural Language Inference Systems
Adversarial Analysis of Natural Language Inference Systems
Tiffany Chien
Jugal Kalita
AAML
36
12
0
07 Dec 2019
Infusing Knowledge into the Textual Entailment Task Using Graph
  Convolutional Networks
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Pavan Kapanipathi
Veronika Thost
S. Patel
Spencer Whitehead
Ibrahim Abdelaziz
...
R. Chulaka Gunasekara
B. Makni
Nicholas Mattei
Kartik Talamadupula
Achille Fokoue
39
45
0
05 Nov 2019
Diversify Your Datasets: Analyzing Generalization via Controlled
  Variance in Adversarial Datasets
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Ohad Rozen
Vered Shwartz
Roee Aharoni
Ido Dagan
AAML
19
37
0
21 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
AAML
23
59
0
04 Oct 2019
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
13
560
0
26 Sep 2019
A Logic-Driven Framework for Consistency of Neural Models
A Logic-Driven Framework for Consistency of Neural Models
Tao Li
Vivek Gupta
Maitrey Mehta
Vivek Srikumar
AI4CE
21
101
0
31 Aug 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
11
361
0
23 Aug 2019
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
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
22
453
0
17 Jul 2019
Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
24
94
0
09 Jul 2019
Can neural networks understand monotonicity reasoning?
Can neural networks understand monotonicity reasoning?
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
Satoshi Sekine
Lasha Abzianidze
Johan Bos
LRM
22
80
0
15 Jun 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
8
300
0
27 May 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
57
1,392
0
24 May 2019
A logical-based corpus for cross-lingual evaluation
A logical-based corpus for cross-lingual evaluation
Felipe Salvatore
Marcelo Finger
R. Hirata
21
1
0
10 May 2019
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu
Roy Schwartz
Noah A. Smith
AAML
23
104
0
04 Apr 2019
Recent Advances in Natural Language Inference: A Survey of Benchmarks,
  Resources, and Approaches
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks
Qiaozi Gao
J. Chai
21
128
0
02 Apr 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
AI4CE
22
1,260
0
31 Jan 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
260
620
0
04 Dec 2018
Testing the Generalization Power of Neural Network Models Across NLI
  Benchmarks
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks
Aarne Talman
S. Chatzikyriakidis
ELM
11
48
0
23 Oct 2018
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence
  Inference
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Mandar Joshi
Eunsol Choi
Omer Levy
Daniel S. Weld
Luke Zettlemoyer
CoGe
19
47
0
20 Oct 2018
Improving Natural Language Inference Using External Knowledge in the
  Science Questions Domain
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyang Wang
Pavan Kapanipathi
Ryan Musa
Mo Yu
Kartik Talamadupula
...
Maria Chang
Achille Fokoue
B. Makni
Nicholas Mattei
Michael Witbrock
13
157
0
15 Sep 2018
AdvEntuRe: Adversarial Training for Textual Entailment with
  Knowledge-Guided Examples
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
Tushar Khot
Ashish Sabharwal
Eduard H. Hovy
GAN
14
84
0
12 May 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
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