Papers by Zhenpeng Song
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model (2024.findings-emnlp)
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| Challenge: | Existing document hashing methods only consider flat semantics of documents, preserving hierarchical semantics. |
| Approach: | They propose a hierarchical generative model that can model and leverage hierarchic semantics . they introduce hierarchically-based prototypes into the model to construct a Hierarchical prior distribution . |
| Outcome: | The proposed model outperforms baseline methods on hierarchical and flat datasets. |