A Semi-Supervised Paraphrase Identification Model Based on Multi-Granularity Interaction Reasoning
Conventional paraphrase identification (PI) models based on deep learning usually focus on text representation and ignore the mining and matching of multi-granular interaction features. In addition, supervised learning relies on a large labeled data. However, labeled training set for PI is small in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9050515/ |