Papers by Yohei Sakamoto
Incorporating Word Attention into Character-Based Word Segmentation (N19-1)
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Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada
| Challenge: | Word segmentation models are used to minimize the effort in feature engineering. |
| Approach: | They propose a character-based model that learns the importance of multiple candidate words for a corresponding character on the basis of an attention mechanism and makes use of it for segmentation decisions. |
| Outcome: | The proposed model outperforms the state-of-the-art models on Japanese and Chinese benchmark datasets. |