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cs.CL2026
LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
Luc Pommeret, Thomas Gerald, Patrick Paroubek +3
Knowledge Graph construction from natural language requires extracting structured triplets from complex, information-dense sentences. In this paper, we investigate if the decomposi…
cs.CL2021★ 2 cited
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
Hanane Djeddal, Thomas Gerald, Laure Soulier +2
In this work, our aim is to provide a structured answer in natural language to a complex information need. Particularly, we envision using generative models from the perspective of…