Sofiane Elguendouze

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2025

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AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy
Sofiane Elguendouze | Lucas Anastasiou | Erwan Hain | Elena Cabrio | Anna De Liddo | Serena Villata
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Argument(ation) mining (AM) is the automated process of identification and extraction of argumentative structures in natural language. This field has seen rapid advancements, offering powerful tools to analyze and interpret complex and large discourse in diverse domains (political debates, medical reports, etc.). In this paper we introduce an AM-boosted version of BCause, a large-scale deliberation platform.The system enables the extraction and analysis of arguments from online discussions in the context of deliberative democracy, which aims to enhance the understanding and accessibility of structured argumentation in large-scale deliberation processes.

2020

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Simplification de textes : un état de l’art (Text simplification (State of the art) This paper presents the state of the art on text simplification, in particular the two main types of approaches, namely rule-based approaches and statistical approaches (or data-driven))
Sofiane Elguendouze
Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL

Cet article présente l’état de l’art en simplification de textes et ses deux grandes familles d’approches, à savoir les approches à base de règles et les approches statistiques. Nous présentons, en particulier, les récentes approches neuronales et les architectures mises en place ainsi que les méthodes d’évaluation des systèmes de simplification.
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