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Annotation Artifacts in Natural Language Inference Data

Annotation Artifacts in Natural Language Inference Data

6 March 2018
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
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Papers citing "Annotation Artifacts in Natural Language Inference Data"

33 / 783 papers shown
Title
XNLI: Evaluating Cross-lingual Sentence Representations
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau
Guillaume Lample
Ruty Rinott
Adina Williams
Samuel R. Bowman
Holger Schwenk
Veselin Stoyanov
ELM
23
1,349
0
13 Sep 2018
Assessing Composition in Sentence Vector Representations
Assessing Composition in Sentence Vector Representations
Allyson Ettinger
Ahmed Elgohary
C. Phillips
Philip Resnik
CoGe
20
78
0
11 Sep 2018
Transforming Question Answering Datasets Into Natural Language Inference
  Datasets
Transforming Question Answering Datasets Into Natural Language Inference Datasets
Dorottya Demszky
Kelvin Guu
Percy Liang
20
158
0
09 Sep 2018
Interpreting Neural Networks With Nearest Neighbors
Interpreting Neural Networks With Nearest Neighbors
Eric Wallace
Shi Feng
Jordan L. Boyd-Graber
AAML
FAtt
MILM
20
53
0
08 Sep 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book
  Question Answering
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
40
1,410
0
08 Sep 2018
What If We Simply Swap the Two Text Fragments? A Straightforward yet
  Effective Way to Test the Robustness of Methods to Confounding Signals in
  Nature Language Inference Tasks
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks
Haohan Wang
Da-You Sun
Eric Xing
30
42
0
07 Sep 2018
Trick Me If You Can: Human-in-the-loop Generation of Adversarial
  Examples for Question Answering
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Eric Wallace
Pedro Rodriguez
Shi Feng
Ikuya Yamada
Jordan L. Boyd-Graber
AAML
23
18
0
07 Sep 2018
Semantic Matching Against a Corpus: New Applications and Methods
Semantic Matching Against a Corpus: New Applications and Methods
Lucy H. Lin
Scott B. Miles
Noah A. Smith
14
2
0
28 Aug 2018
What Makes Reading Comprehension Questions Easier?
What Makes Reading Comprehension Questions Easier?
Saku Sugawara
Kentaro Inui
Satoshi Sekine
Akiko Aizawa
31
117
0
28 Aug 2018
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
Dongyeop Kang
Tushar Khot
Ashish Sabharwal
Peter Clark
10
4
0
28 Aug 2018
Sentence Embeddings in NLI with Iterative Refinement Encoders
Sentence Embeddings in NLI with Iterative Refinement Encoders
Aarne Talman
Anssi Yli-Jyrä
Jörg Tiedemann
AI4TS
27
41
0
27 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
18
118
0
26 Aug 2018
Lessons from Natural Language Inference in the Clinical Domain
Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov
Chaitanya P. Shivade
LM&MA
21
264
0
21 Aug 2018
Lexicosyntactic Inference in Neural Models
Lexicosyntactic Inference in Neural Models
Aaron Steven White
Rachel Rudinger
Kyle Rawlins
Benjamin Van Durme
17
37
0
19 Aug 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
36
705
0
16 Aug 2018
How Much Reading Does Reading Comprehension Require? A Critical
  Investigation of Popular Benchmarks
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik
Zachary Chase Lipton
ELM
39
231
0
14 Aug 2018
Grounded Textual Entailment
Grounded Textual Entailment
H. Vu
Claudio Greco
A. Erofeeva
Somayeh Jafaritazehjan
Guido M. Linders
Marc Tanti
A. Testoni
Raffaella Bernardi
Albert Gatt
21
29
0
14 Jun 2018
Neural Network Models for Paraphrase Identification, Semantic Textual
  Similarity, Natural Language Inference, and Question Answering
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Wuwei Lan
Wei Xu
20
121
0
12 Jun 2018
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
36
371
0
02 Jun 2018
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Visual Referring Expression Recognition: What Do Systems Actually Learn?
Volkan Cirik
Louis-Philippe Morency
Taylor Berg-Kirkpatrick
34
63
0
30 May 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
22
84
0
12 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical
  Inferences
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
Vered Shwartz
Yoav Goldberg
NAI
36
365
0
06 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
192
576
0
02 May 2018
End-Task Oriented Textual Entailment via Deep Explorations of
  Inter-Sentence Interactions
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Wenpeng Yin
Hinrich Schütze
Dan Roth
19
24
0
24 Apr 2018
Collecting Diverse Natural Language Inference Problems for Sentence
  Representation Evaluation
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
Aparajita Haldar
Rachel Rudinger
J. E. Hu
Ellie Pavlick
Aaron Steven White
Benjamin Van Durme
AI4CE
28
0
0
23 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult
Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
Eric Wallace
Alvin Grissom II
Mohit Iyyer
Pedro Rodriguez
Jordan L. Boyd-Graber
AAML
FAtt
18
317
0
20 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
ELM
304
6,996
0
20 Apr 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
43
2,324
0
14 Mar 2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke M. Tran
Arianna Bisazza
Christof Monz
40
150
0
09 Mar 2018
Attentive Convolution: Equipping CNNs with RNN-style Attention
  Mechanisms
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
Hinrich Schütze
33
41
0
02 Oct 2017
Jointly Learning Sentence Embeddings and Syntax with Unsupervised
  Tree-LSTMs
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs
Jean Maillard
S. Clark
Dani Yogatama
34
87
0
25 May 2017
Soft Label Memorization-Generalization for Natural Language Inference
Soft Label Memorization-Generalization for Natural Language Inference
John P. Lalor
Hao Wu
Hong-ye Yu
16
8
0
27 Feb 2017
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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