Hierarchical Sequence-to-Sequence Model for Multi-Label Text Classification
We propose a novel sequence-to-sequence model for multi-label text classification, based on a “parallel encoding, serial decoding” strategy. The model combines a convolutional neural network and self-attention in parallel as the encoder to extract fine-grained local neighborhoo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8879472/ |