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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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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
*SEMEVAL |
Citations
URL
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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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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Lexicosyntactic Inference in Neural Models
Aaron Steven White
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Rachel Rudinger
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Kyle Rawlins
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Benjamin Van Durme
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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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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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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
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Yonatan Belinkov
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James Glass
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Benjamin Van Durme
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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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Tackling the Story Ending Biases in The Story Cloze Test
Rishi Sharma
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James Allen
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Omid Bakhshandeh
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Nasrin Mostafazadeh
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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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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Teaching Syntax by Adversarial Distraction
Juho Kim
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Christopher Malon
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Asim Kadav
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https://leonidk.com/
Field Of Study
Linguistic Trends
Lexical Semantics
Task
Language Understanding
Language
English
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