Jonathan Chevelu — accepted AI-conference papers

2025

Paraphrase Generation Evaluation Powered by an LLM: A Semantic Metric, Not a Lexical One

Quentin Lemesle, Jonathan Chevelu, Philippe Martin, Damien Lolive, Arnaud Delhay, Nelly Barbot

COLING 2025main

Evaluating automatic paraphrase production systems is a difficult task as it involves, among other things, assessing the semantic proximity between two sentences. Usual measures are based on lexical distances, or at least on semantic embedding alignments. The rise of Large Language Models (LLM) has…

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2020

Mama/Papa, Is this Text for Me?

Rashedur Rahman, Gwénolé Lecorvé, Aline Étienne, Delphine Battistelli, Nicolas Béchet, Jonathan Chevelu

COLING 2020main

Children have less linguistic skills than adults, which makes it more difficult for them to understand some texts, for instance when browsing the Internet. In this context, we present a novel method which predicts the minimal age from which a text can be understood. This method analyses each sentenc…

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