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Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement. [PDF]

Sci Rep
Huang R, Li M, Zheng H, Zhao Z.
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Enhancing Medical Diagnosis Document Analysis with Layout-Aware Multitask Models. [PDF]

Diagnostics (Basel)
Tu HJ, Hsu JL.
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Development of a large language model-based knowledge graph for chemotherapy-induced nausea and vomiting in breast cancer and its implications for nursing. [PDF]

Int J Nurs Sci
Liu Y, Chen J, Lin X, Song J, Chen S.
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Integrating knowledge graphs with ancient Chinese medicine classics: challenges and future prospects of multi-agent system convergence. [PDF]

Chin Med
Xiang S, Lin H, Cai F, Jiang Z.
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Integrating BERT-XL with multi-dimensional knowledge graphs for knowledge completion and relation reasoning in archival fragmented texts. [PDF]

Sci Rep
Li Z.
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LLM-Reflex-GeoKG: A reflexion-enhanced LLM framework for automated geographic knowledge graph construction. [PDF]

PLoS One
Wei Z, Chen G, Xu Y, Yang X, Cao M, Liao M.   +5 more
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Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism. [PDF]

PLoS One
Luo Z, Che J, Ji F.
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A short text entity disambiguation method based on BERT model and shortest path algorithm. [PDF]

Sci Rep
Liu X, Zhang D, Xiao T, Mou S, Du J, Zhao R, Li W, Liu W, Zhan Y.   +8 more
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UnionPromptNER serves as a union prompting method to bridge few-shot named entity recognition. [PDF]

Sci Rep
Tian W, Xu S, Wang Y, Li H, Zhu H.
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Bag of Tricks for Chinese Named Entity Recognition

2021 International Joint Conference on Neural Networks (IJCNN), 2021
Named entity recognition (NER) is an important and challenging task in natural language processing. In this paper, we investigate thoroughly about the advances of Chinese NER in recent years. We explore the validity of a wide range of approaches in the literature of NLP that may benefit NER.
Yao Xiao, Jingbo Peng, Luoyi Fu, Haisong Zhang   +3 more
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