Atomic propositions improve relation recall for weak triplet extractors like GLiREL and small models across SMiLER, FewRel, DocRED and CaRB, while requiring fallback for stronger LLMs.
Direct", where models try to extract the triplet directly from the raw text
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LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
Atomic propositions improve relation recall for weak triplet extractors like GLiREL and small models across SMiLER, FewRel, DocRED and CaRB, while requiring fallback for stronger LLMs.