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Multi-Task Video Captioning with Video and Entailment Generation
Ramakanth Pasunuru
|
Mohit Bansal
|
Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Reinforced Video Captioning with Entailment Rewards
Ramakanth Pasunuru
|
Mohit Bansal
|
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
|
Aparajita Haldar
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Rachel Rudinger
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J. Edward Hu
|
Ellie Pavlick
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Aaron Steven White
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Benjamin Van Durme
|
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
|
Yonatan Bisk
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Roy Schwartz
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Yejin Choi
|
Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead
|
Heng Ji
|
Mohit Bansal
|
Shih-Fu Chang
|
Clare Voss
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach
Poorya Zaremoodi
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Gholamreza Haffari
|
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
|
Ramakanth Pasunuru
|
Mohit Bansal
|
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Hongge Chen
|
Huan Zhang
|
Pin-Yu Chen
|
Jinfeng Yi
|
Cho-Jui Hsieh
|
Towards Improving Abstractive Summarization via Entailment Generation
Ramakanth Pasunuru
|
Han Guo
|
Mohit Bansal
|
https://doi.org/10.18653/v1/P17-1117
https://doi.org/10.18653/v1/P17-1117
http://ms-multimedia-challenge.com/leaderboard
Field Of Study
Linguistic Trends
Embeddings
Task
Textual Entailment
Language Generation
Summarization
Machine Translation
Paraphrasing
Approach
Representation Learning
Unsupervised Learning
Language
English
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