Papers with RDF-to-text

2 papers
LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators (2025.emnlp-industry)

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Challenge: Existing neural approaches to generate RDF-to-text are limited in their implementation.
Approach: They propose a framework where the model is “trained” through collaborative interactions among multiple LLM agents rather than traditional backpropagation.
Outcome: The proposed framework reduces hallucinations and fluency penalties on the WebNLG and OpenDialKG datasets.
WebNLG-IT: Construction of an aligned RDF-Italian corpus through Machine Translation techniques (2025.findings-acl)

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Challenge: Using NMT and hand-written rules, we created the first aligned Italian RDF-to-text corpus .
Approach: They propose to use NMT to create an Italian version of the WebNLG corpus and to refine and improve the quality of the produced resource.
Outcome: The proposed system is the best on the original English version and the best in the second step, it improves and refines the quality of the produced resource.

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