Author

Yan-Dong Sun

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#natural language process... Preprint Sep 2026

SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Merging

SPARROW is proposed, a scalable taxonomy induction framework that combines structure-preserving spectral partitioning to retain hierarchical connectivity within each block, and constraint-guided incremental fusion that treats block-level relations as structural constraints rather than ground truth for global placement.

Yi-Rui Zhang, Yi-Xuan Tang, Yan-Dong Sun et al. · 0 citations

#artificial intelligence Preprint Mar 2026

Asking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text

QIME is proposed, an ontology-grounded framework for interpretable biomedical text embeddings in which each dimension corresponds to an explicit biomedical-domain yes/no question, providing concise and domain-specific interpretations.

Yixuan Tang, Zheng-Lin Lin, Yan-Dong Sun et al. · 0 citations