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Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Julia Kreutzer
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Artem Sokolov
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Stefan Riezler
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Khanh Nguyen
|
Hal Daumé III
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Jordan Boyd-Graber
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Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
Carolin Lawrence
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Artem Sokolov
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Stefan Riezler
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Extracting Entities and Relations with Joint Minimum Risk Training
Changzhi Sun
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Yuanbin Wu
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Man Lan
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Shiliang Sun
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Wenting Wang
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Kuang-Chih Lee
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Kewen Wu
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Can Neural Machine Translation be Improved with User Feedback?
Julia Kreutzer
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Shahram Khadivi
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Evgeny Matusov
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Stefan Riezler
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Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
Julia Kreutzer
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Joshua Uyheng
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Stefan Riezler
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Learning from Chunk-based Feedback in Neural Machine Translation
Pavel Petrushkov
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Shahram Khadivi
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Evgeny Matusov
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A Shared Task on Bandit Learning for Machine Translation
Artem Sokolov
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Julia Kreutzer
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Kellen Sunderland
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Pavel Danchenko
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Witold Szymaniak
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Hagen Fürstenau
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Stefan Riezler
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The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
Amr Sharaf
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Shi Feng
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Khanh Nguyen
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Kianté Brantley
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Hal Daumé III
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Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
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https://doi.org/10.18653/v1/P17-1138
https://doi.org/10.18653/v1/P17-1138
Field Of Study
Task
Chunking
Semantic Parsing
Machine Translation
OCR
Approach
Structured Prediction
Language
English
French
Dataset
News
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