@inproceedings{elguendouze-etal-2025-am4dsp,
    title = "{AM}4{DSP}: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy",
    author = "Elguendouze, Sofiane  and
      Anastasiou, Lucas  and
      Hain, Erwan  and
      Cabrio, Elena  and
      De Liddo, Anna  and
      Villata, Serena",
    editor = {Habernal, Ivan  and
      Schulam, Peter  and
      Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-demos.61/",
    pages = "796--805",
    ISBN = "979-8-89176-334-0",
    abstract = "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."
}