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Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
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Swabha Swayamdipta
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Omer Levy
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Roy Schwartz
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Samuel Bowman
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Noah A. Smith
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Assessing Composition in Sentence Vector Representations
Allyson Ettinger
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Ahmed Elgohary
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Colin Phillips
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Philip Resnik
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Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
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Aparajita Haldar
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Rachel Rudinger
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J. Edward Hu
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Ellie Pavlick
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Aaron Steven White
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Benjamin Van Durme
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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
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Yonatan Bisk
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Roy Schwartz
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Yejin Choi
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Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov
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Chaitanya Shivade
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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
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Peter Clark
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Tushar Khot
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Ashish Sabharwal
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XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau
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Ruty Rinott
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Guillaume Lample
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Adina Williams
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Samuel Bowman
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Holger Schwenk
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Veselin Stoyanov
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Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
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Eric Wallace
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Alvin Grissom II
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Mohit Iyyer
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Pedro Rodriguez
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Jordan Boyd-Graber
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What Makes Reading Comprehension Questions Easier?
Saku Sugawara
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Kentaro Inui
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Satoshi Sekine
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Akiko Aizawa
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The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke Tran
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Arianna Bisazza
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Christof Monz
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When data permutations are pathological: the case of neural natural language inference
Natalie Schluter
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Daniel Varab
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Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Peter Clark
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How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik
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Zachary C. Lipton
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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
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Sebastian Riedel
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Visual Referring Expression Recognition: What Do Systems Actually Learn?
Volkan Cirik
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Louis-Philippe Morency
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Taylor Berg-Kirkpatrick
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Wenpeng Yin
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Dan Roth
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Hinrich Schütze
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Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
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Vered Shwartz
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Yoav Goldberg
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Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Eric Wallace
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Jordan Boyd-Graber
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
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Hinrich Schütze
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
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Jason Naradowsky
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Aparajita Haldar
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Rachel Rudinger
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Benjamin Van Durme
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Interpreting Neural Networks with Nearest Neighbors
Eric Wallace
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Shi Feng
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Jordan Boyd-Graber
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang
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Amanpreet Singh
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Julian Michael
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Felix Hill
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Omer Levy
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Samuel Bowman
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Teaching Syntax by Adversarial Distraction
Juho Kim
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Christopher Malon
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Asim Kadav
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Team Papelo: Transformer Networks at FEVER
Christopher Malon
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QED: A fact verification system for the FEVER shared task
Jackson Luken
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Nanjiang Jiang
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Marie-Catherine de Marneffe
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https://doi.org/10
https://doi.org/10.18653/
https://doi.org/10.18653/v1/
https://doi.org/10
https://arxiv.org/abs/1802
https://arxiv.org/abs/
https://arxiv.org/abs/1612
http://dl.acm.org/citation
https://www.aclweb
https://doi.org/
https://doi.org/10.18653/
https://doi.org/10.3115/v1/
https://doi.org/10.18653/v1/
https://doi.org/10.18653/v1/
https://doi.org/10.18653/v1/
http://www.aclweb.org/
Field Of Study
Linguistic Trends
Discourse
Task
Textual Entailment
Question Answering
Language
English
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