AI RESEARCH
LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
arXiv CS.CL
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ArXi:2604.02866v1 Announce Type: new Knowledge Graph construction from natural language requires extracting structured triplets from complex, information-dense sentences. In this paper, we investigate if the decomposition of text into atomic propositions (minimal, semantically autonomous units of information) can improve the triplet extraction. We