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Heng Zhang

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#natural language process... Open access Sep 2026

Measuring the novelty of biomedical papers using the latent distances between knowledge units

This study introduces a comprehensive novelty measurement that incorporates three types of relationships between knowledge units: network, semantic, and hierarchical and demonstrates that combining all three distance metrics yields more effective identification of novel papers than using any single perspective alone.

Yi Zhao, Heng Zhang, Yu-Zhuo Wang et al. · 0 citations
Open access Aug 2026

Enhancing scientific named entity recognition via large language models: a type-driven multi-task learning approach

This work proposes TdSciNER, a type-driven approach that effectively leverages entity type information to enhance SciNER performance and develops a novel demonstration selection strategy based on sentence similarity and entity type diversity to activate the in-context learning capabilities of LLMs, thereby improving en...

Tong Bao, Yi Zhao, Heng Zhang et al. · 0 citations

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