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Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal
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Dhruv Batra
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Devi Parikh
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
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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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
Wei-Lun Chao
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Hexiang Hu
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Fei Sha
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Stacking with Auxiliary Features for Visual Question Answering
Nazneen Fatema Rajani
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Raymond Mooney
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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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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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FOIL it! Find One mismatch between Image and Language caption
Ravi Shekhar
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Sandro Pezzelle
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Yauhen Klimovich
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Aurélie Herbelot
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Moin Nabi
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Enver Sangineto
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Raffaella Bernardi
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A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Shubham Agarwal
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Ondřej Dušek
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Ioannis Konstas
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Verena Rieser
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Improving Context Modelling in Multimodal Dialogue Generation
Shubham Agarwal
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Ondřej Dušek
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Ioannis Konstas
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Verena Rieser
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http://www.visualqa.org/challenge.html
https://github.com/
https://github.com/
https://github.com/VT-vision-lab/
Field Of Study
Task
Question Answering
Language
English
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