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Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Khanh Nguyen
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Hal Daumé III
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Jordan Boyd-Graber
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
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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A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu
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Fei Tian
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Tao Qin
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Jianhuang Lai
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Tie-Yan Liu
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Active Learning for Interactive Neural Machine Translation of Data Streams
Álvaro Peris
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Francisco Casacuberta
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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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Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham
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Jan Niehues
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Alexander Waibel
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https://github.com/
Field Of Study
Task
Machine Translation
Word Segmentation
Approach
Structured Prediction
Language
Chinese
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