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Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
Sho Yokoi
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Sosuke Kobayashi
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Kenji Fukumizu
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Jun Suzuki
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Kentaro Inui
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Paper Details:
Month: October-November
Year: 2018
Location: Brussels, Belgium
Venue:
EMNLP |
Citations
URL
No Citations Yet
https://fasttext.cc/docs/en/english-vectors
https://fasttext.cc/docs/en/crawl-vectors
https://www.tensorflow.org/hub/modules/google/
https://www.microsoft.com/en-us/download/
http://www.statmt.org/wmt18/
http://lotus.kuee.kyoto-u.ac.jp/ASPEC/
http://lotus.kuee.kyoto-u.ac.jp/WAT/WAT2017/
https://github.com/pytorch/fairseq
https://github.com/clab/fast
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Deep Learning
Kernel Method
Language
English
Japanese
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