Topic-Aware Deep Compositional Models for Sentence Classification
In recent years, deep compositional models have emerged as a popular technique for representation learning of sentence in computational linguistic and natural language processing. These models normally train various forms of neural networks on top of pretrained word embeddings using a task-specific...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://hdl.handle.net/10356/83235 http://hdl.handle.net/10220/42502 |