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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
  Language Inference

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

4 February 2019
R. Thomas McCoy
Ellie Pavlick
Tal Linzen
ArXivPDFHTML

Papers citing "Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference"

29 / 329 papers shown
Title
Emergence of Syntax Needs Minimal Supervision
Emergence of Syntax Needs Minimal Supervision
Raphaël Bailly
Kata Gábor
36
5
0
03 May 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
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Daniel E. Ho
Jay Pujara
Xiang Ren
ReLM
19
36
0
02 May 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation
  Extraction Task
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
19
153
0
30 Apr 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Junghyun Min
R. Thomas McCoy
Dipanjan Das
Emily Pitler
Tal Linzen
30
175
0
24 Apr 2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
CLUE: A Chinese Language Understanding Evaluation Benchmark
Liang Xu
Hai Hu
Xuanwei Zhang
Lu Li
Chenjie Cao
...
Cong Yue
Xinrui Zhang
Zhen-Yi Yang
Kyle Richardson
Zhenzhong Lan
ELM
45
377
0
13 Apr 2020
Translation Artifacts in Cross-lingual Transfer Learning
Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe
Gorka Labaka
Eneko Agirre
27
115
0
09 Apr 2020
Domain Adaptation with Conditional Distribution Matching and Generalized
  Label Shift
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Rémi Tachet des Combes
Han Zhao
Yu-Xiang Wang
Geoffrey J. Gordon
OOD
AAML
VLM
31
183
0
10 Mar 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
Adversarial Filters of Dataset Biases
Adversarial Filters of Dataset Biases
Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
36
220
0
10 Feb 2020
Adversarial Analysis of Natural Language Inference Systems
Adversarial Analysis of Natural Language Inference Systems
Tiffany Chien
Jugal Kalita
AAML
39
12
0
07 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
14
1,198
0
20 Nov 2019
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
17
316
0
08 Nov 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever
When Choosing Plausible Alternatives, Clever Hans can be Clever
Pride Kavumba
Naoya Inoue
Benjamin Heinzerling
Keshav Singh
Paul Reisert
Kentaro Inui
16
50
0
01 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
51
978
0
31 Oct 2019
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
M. Moradshahi
Hamid Palangi
M. Lam
P. Smolensky
Jianfeng Gao
26
16
0
25 Oct 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
SesameBERT: Attention for Anywhere
SesameBERT: Attention for Anywhere
Ta-Chun Su
Hsiang-Chih Cheng
33
7
0
08 Oct 2019
Improving Natural Language Inference with a Pretrained Parser
Improving Natural Language Inference with a Pretrained Parser
D. Pang
Lucy H. Lin
Noah A. Smith
25
14
0
18 Sep 2019
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
16
148
0
16 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAML
SILM
60
837
0
20 Aug 2019
Towards Debiasing Fact Verification Models
Towards Debiasing Fact Verification Models
Tal Schuster
Darsh J. Shah
Yun Jie Serene Yeo
Daniel Filizzola
Enrico Santus
Regina Barzilay
36
209
0
14 Aug 2019
Probing Neural Network Comprehension of Natural Language Arguments
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven
Hung-Yu kao
AAML
45
453
0
17 Jul 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
87
1,407
0
24 May 2019
The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
L. Shekhar
Niranjan Balasubramanian
102
30
0
03 May 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 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
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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