Papers by Yushan Jiang
DLM: A Decoupled Learning Model for Long-tailed Polyphone Disambiguation in Mandarin (2024.naacl-long)
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| Challenge: | Grapheme-to-phoneme conversion datasets suffer from the long-tail problem . context learning for polyphonic characters often stems from a single dimension . |
| Approach: | They propose a model for long-tailed polyphone disambiguation in Mandarin that decouples representation and classification learnings. |
| Outcome: | The proposed model can decouple representation and classification learnings . it achieves transition learning of context from local to global . |