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RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
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Qizhe Xie
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Hanxiao Liu
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Yiming Yang
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Eduard Hovy
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Reading Comprehension with Graph-based Temporal-Casual Reasoning
Yawei Sun
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Gong Cheng
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Yuzhong Qu
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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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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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MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
Simon Ostermann
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Ashutosh Modi
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Michael Roth
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Stefan Thater
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Manfred Pinkal
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Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
Daniel Khashabi
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Snigdha Chaturvedi
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Michael Roth
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Shyam Upadhyay
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Dan Roth
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CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
Simon Šuster
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Walter Daelemans
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Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
Igor Labutov
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Bishan Yang
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Anusha Prakash
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Amos Azaria
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Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min
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Victor Zhong
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Richard Socher
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Caiming Xiong
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ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task
Yixuan Sheng
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Man Lan
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Yuanbin Wu
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http://www.cs.cmu.edu/
https://github.com/
https://www.mturk.com/mturk/welcome
http://www.21cnjy.com/
http://5utk.ks5u.com/
http://zujuan.xkw.com/
https://github.com/tesseract-ocr
https://www.abbyy.com/FineReader
Field Of Study
Linguistic Trends
Embeddings
Task
Question Answering
Summarization
Paraphrasing
OCR
Approach
Deep Learning
Language
Chinese
English
Dataset
News
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