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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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Paper Details:
Month: July
Year: 2018
Location: Melbourne, Australia
Venue:
ACL |
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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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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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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Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
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Xiaodan Zhu
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Zhen-Hua Ling
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Diana Inkpen
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Si Wei
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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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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning
Teresa Botschen
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Daniil Sorokin
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Iryna Gurevych
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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://nlp.stanford.edu/projects/snli/
http://allennlp.org/models
https://doi.org/10.18653/v1/D15-1075
https://www.aclweb.org/anthology/D17-1215
https://aclweb.org/anthology/D16-
http://www.aclweb.org/anthology/D14-1162
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Textual Entailment
Question Answering
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