arXiv:2401.07683
공식 코드 · Papers with Code
Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
원문 초록
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.
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Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation
Irec: A Metacognitive Scaffolding for Self-Regulated Learning through Just-in-Time Insight Recall: A Conceptual Framework and System Prototype
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
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