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News/LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
arxiv
PublishedApril 6, 2026 at 4:00 AM
—neutral

LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.02866v1 Announce Type: new Abstract: 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

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Discussion
Mentioned models
05
  • 01
    MPropositionneur-V2
  • 02
    Qwen3-32B
  • 03
    Qwen3-0.6B
  • 04
    GLiREL
  • 05
    CoreNLP
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#knowledge graph#natural language#multilingual#information extraction

No replies yet. Be first.

Mentioned models
05
  • 01
    MPropositionneur-V2
  • 02
    Qwen3-32B
  • 03
    Qwen3-0.6B
  • 04
    GLiREL
  • 05
    CoreNLP
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#knowledge graph#natural language#multilingual#information extraction

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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