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Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
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Myle Ott
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Michael Auli
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David Grangier
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Marc’Aurelio Ranzato
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
NAACL |
Citations
URL
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
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Simon Clematide
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Neural Quality Estimation of Grammatical Error Correction
Shamil Chollampatt
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Hwee Tou Ng
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Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna
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Bishal Santra
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Sasi Prasanth Bandaru
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Gaurav Sahu
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Vishnu Dutt Sharma
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Pavankumar Satuluri
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Pawan Goyal
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Imitation Learning for Neural Morphological String Transduction
Peter Makarov
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Simon Clematide
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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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Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Maha Elbayad
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Laurent Besacier
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Jakob Verbeek
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Sequence to Sequence Mixture Model for Diverse Machine Translation
Xuanli He
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Gholamreza Haffari
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Mohammad Norouzi
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UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
Peter Makarov
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Simon Clematide
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https://github.com/
https://github.com/facebookresearch/
Field Of Study
Task
Summarization
Approach
Structured Prediction
Language
English
French
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