CyberKG: Constructing a Cybersecurity Knowledge Graph Based on SecureBERT_Plus for CTI Reports
InformaticsCyberattacks, especially Advanced Persistent Threats (APTs), have become more complex. These evolving threats challenge traditional defense systems, which struggle to counter long-lasting and covert attacks. Cybersecurity Knowledge Graphs (CKGs), enabled
Binyong Li +3 more
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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Transactions of the Association for Computational Linguistics, 2021 Andrea Moro +2 more
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Leveraging large language models for rare disease named entity recognition. [PDF]
PLOS Digit HealthXi NM, Deng Y, Wang L.
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AI-Driven Medical Device Risk Management: A New Paradigm Integrating Large Language Models and Prompt Engineering for Standard-Risk Knowledge Graph Construction and Application. [PDF]
Risk Manag Healthc PolicyZhu W +6 more
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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 SciLiu Y, Chen J, Lin X, Song J, Chen S.
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Enhancing Named Entity Recognition for immunology and immune-mediated disorders. [PDF]
Front ImmunolChen S, Che J, Sun M, Wang Y.
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Knowledge Graph representations for entity disambiguation
, 2020 Knowledge Graph representations for entity ...
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STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field. [PDF]
Sci DataXu S, Liu Z, An X.
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BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Sci RepMishra S, Alfahidah RA, Alharbi F.
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Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT. [PDF]
Front Artif IntellXu X, Li Z, Zhang H, Ma K.
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