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Found 3 papers, 1 papers with code
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System
Dialogue data in real scenarios tend to be sparsely available, rendering data-starved end-to-end dialogue systems trained inadequately.
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing
To improve the retrieval accuracy of fine-grained hashing, we propose a cascaded network to learn compact and highly semantic hash codes, and introduce an attention-guided data augmentation method.
Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next
While pre-trained Chinese language models have demonstrated impressive performance on a wide range of NLP tasks, the Chinese Spell Checking (CSC) task remains a challenge.
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