Papers by Jingkang Wang
Multiple Character Embeddings for Chinese Word Segmentation (P19-2)
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| Challenge: | Chinese word segmentation is regarded as character-based sequence labeling task in most current work but it neglects important fact: Chinese characters contain both semantic and phonetic meanings. |
| Approach: | They propose a shared bi-LSTM-CRF model which fuses linguistic features efficiently by sharing the LSTM network during the training procedure. |
| Outcome: | The proposed model achieves state-of-the-art in AS and CityU corpora without external lexical resources. |