Neural network model for dependency parsing incorporating global vector feature
LSTM and piecewise CNN were utilized to extract word vector features and global vector features,respectively.Then the two features were input to feed forward network for training.In model training,the probabilistic training method was adopted.Compared with the original dependency paring model,the pr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2018-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018024/ |
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