Papers by Kazuki Fukui

1 papers
Segmentation-free compositional n-gram embedding (N19-1)

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Challenge: Existing word embedding models depend on word segmentation, but this method is difficult when corpora written in noisy or unsegmented languages.
Approach: They propose a new method that models words, phrases and sentences seamlessly without word segmentation.
Outcome: The proposed method is very effective for noisy corpora written in unsegmented languages such as Chinese and Japanese.

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