Analysis of Japanese WSD with hiraganakanji conversion and context word embeddings

@article{Gumizawa2017AnalysisOJ,
  title={Analysis of Japanese WSD with hiraganakanji conversion and context word embeddings},
  author={Yuki Gumizawa and Kazuhide Yamamoto},
  journal={2017 International Conference on Asian Language Processing (IALP)},
  year={2017},
  pages={107-110}
}
In this paper, we investigate a problem existing in Japanese word sense disambiguation (WSD) through a HiraganaKanji conversion task. In choosing words to consider as features, we propose a method that employs word embeddings and pointwise mutual information and evaluate the proposed method. The experimental results suggest that our method is more effective than other methods using word embeddings. We also compare the accuracy when changing the amount of training data. We find that the… CONTINUE READING

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