<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="elguendouze-etal-2025-am4dsp">
    <titleInfo>
        <title>AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Sofiane</namePart>
        <namePart type="family">Elguendouze</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Lucas</namePart>
        <namePart type="family">Anastasiou</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Erwan</namePart>
        <namePart type="family">Hain</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Elena</namePart>
        <namePart type="family">Cabrio</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Anna</namePart>
        <namePart type="family">De Liddo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Serena</namePart>
        <namePart type="family">Villata</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ivan</namePart>
            <namePart type="family">Habernal</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Peter</namePart>
            <namePart type="family">Schulam</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jörg</namePart>
            <namePart type="family">Tiedemann</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Suzhou, China</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-334-0</identifier>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">elguendouze-etal-2025-am4dsp</identifier>
    <location>
        <url>https://aclanthology.org/2025.emnlp-demos.61/</url>
    </location>
    <part>
        <date>2025-11</date>
        <extent unit="page">
            <start>796</start>
            <end>805</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy
%A Elguendouze, Sofiane
%A Anastasiou, Lucas
%A Hain, Erwan
%A Cabrio, Elena
%A De Liddo, Anna
%A Villata, Serena
%Y Habernal, Ivan
%Y Schulam, Peter
%Y Tiedemann, Jörg
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-334-0
%F elguendouze-etal-2025-am4dsp
%X 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.
%U https://aclanthology.org/2025.emnlp-demos.61/
%P 796-805

Markdown (Informal)

[AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy](https://aclanthology.org/2025.emnlp-demos.61/) (Elguendouze et al., EMNLP 2025)

• AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy (Elguendouze et al., EMNLP 2025)

ACL

• Sofiane Elguendouze, Lucas Anastasiou, Erwan Hain, Elena Cabrio, Anna De Liddo, and Serena Villata. 2025. AM4DSP: Argumentation Mining in Structured Decentralized Discussion Platforms for Deliberative Democracy. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 796–805, Suzhou, China. Association for Computational Linguistics.