Information Extraction
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
·2178 words·11 mins·
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AI Generated
Natural Language Processing
Information Extraction
🏢 School of Computer Science, Beijing University of Posts and Telecommunications, China
Text2NKG: a novel framework for building N-ary relational knowledge graphs by performing fine-grained n-ary relation extraction, supporting multiple schemas, and achieving state-of-the-art accuracy.
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
·1941 words·10 mins·
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AI Generated
Natural Language Processing
Information Extraction
🏢 School of Computer Science and Engineering, University of New South Wales
Researchers created a Materials Knowledge Graph (MKG) using large language models to efficiently organize and integrate knowledge from a decade of high-quality materials science research, enhancing da…