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RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation
Hiroki Shimanaka
|
Tomoyuki Kajiwara
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Mamoru Komachi
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Paper Details:
Month: October
Year: 2018
Location: Belgium, Brussels
Venue:
EMNLP |
WMT |
WS |
SIG: SIGMT
Citations
URL
Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance
Qingsong Ma
|
Ondřej Bojar
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Yvette Graham
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https://doi.org/10.18653/v1/W18-64083
https://github.com/Shi-ma/RUSE
http://asiya.lsi.upc.edu/
http://github.com/qingsongma/blend
https://github.com/rohitguptacs/ReVal
http://clic.cimec.unitn.it/composes/sick.html
https://github.com/facebookresearch/InferSent
https://nlp.stanford.edu/projects/snli/
https://github.com/lajanugen/S2V
https://www.tensorflow.org/hub/modules/google/universal-
https://chainer.org/
http://scikit-learn.org/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Unsupervised Learning
Language
Chinese
English
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