@inproceedings{khallaf-etal-2025-democracy,
title = "Democracy Made Easy: Simplifying Complex Topics to Enable Democratic Participation",
author = "Khallaf, Nouran and
Bott, Stefan and
Eugeni, Carlo and
O{'}Flaherty, John and
Sharoff, Serge and
Saggion, Horacio",
editor = "Ginel, Mar{\'i}a Isabel Rivas and
Cadwell, Patrick and
Canavese, Paolo and
Hansen-Schirra, Silvia and
Kappus, Martin and
Matamala, Anna and
Noonan, Will",
booktitle = "Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI {\&} EL/PL)",
month = jun,
year = "2025",
address = "Geneva, Switzerland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2025.aielpl-1.10/",
pages = "108--124",
ISBN = "978-2-9701897-5-6",
abstract = "Several people are excluded from democratic deliberation because the language which is used in this context may be too difficult to understand for them. Our iDEM project aims at lowering existing linguistic barriers in deliberative processes by developing technology to facilitate the translation of complicated text into easy to read formats which are more suitable for may people. In this paper we describe classification experiments for detecting different types of difficulties which should be amended in order to make texts easier to understand. We focus on a lexical simplification system which can achieve state-of-the-art results with the use of a free and open-weight Large Language Model for the Romance Languages in the iDEM project. Moreover, a sentence segmentation system is introduced that can create text segmentation for long sentences based on training data. We describe the iDEM mobile app, which will make our technology available as a service for end-users of our target populations."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="khallaf-etal-2025-democracy">
<titleInfo>
<title>Democracy Made Easy: Simplifying Complex Topics to Enable Democratic Participation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nouran</namePart>
<namePart type="family">Khallaf</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Stefan</namePart>
<namePart type="family">Bott</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carlo</namePart>
<namePart type="family">Eugeni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">John</namePart>
<namePart type="family">O’Flaherty</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Serge</namePart>
<namePart type="family">Sharoff</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Horacio</namePart>
<namePart type="family">Saggion</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-06</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI & EL/PL)</title>
</titleInfo>
<name type="personal">
<namePart type="given">María</namePart>
<namePart type="given">Isabel</namePart>
<namePart type="given">Rivas</namePart>
<namePart type="family">Ginel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Patrick</namePart>
<namePart type="family">Cadwell</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Paolo</namePart>
<namePart type="family">Canavese</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Silvia</namePart>
<namePart type="family">Hansen-Schirra</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Martin</namePart>
<namePart type="family">Kappus</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anna</namePart>
<namePart type="family">Matamala</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Will</namePart>
<namePart type="family">Noonan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>European Association for Machine Translation</publisher>
<place>
<placeTerm type="text">Geneva, Switzerland</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">978-2-9701897-5-6</identifier>
</relatedItem>
<abstract>Several people are excluded from democratic deliberation because the language which is used in this context may be too difficult to understand for them. Our iDEM project aims at lowering existing linguistic barriers in deliberative processes by developing technology to facilitate the translation of complicated text into easy to read formats which are more suitable for may people. In this paper we describe classification experiments for detecting different types of difficulties which should be amended in order to make texts easier to understand. We focus on a lexical simplification system which can achieve state-of-the-art results with the use of a free and open-weight Large Language Model for the Romance Languages in the iDEM project. Moreover, a sentence segmentation system is introduced that can create text segmentation for long sentences based on training data. We describe the iDEM mobile app, which will make our technology available as a service for end-users of our target populations.</abstract>
<identifier type="citekey">khallaf-etal-2025-democracy</identifier>
<location>
<url>https://aclanthology.org/2025.aielpl-1.10/</url>
</location>
<part>
<date>2025-06</date>
<extent unit="page">
<start>108</start>
<end>124</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Democracy Made Easy: Simplifying Complex Topics to Enable Democratic Participation
%A Khallaf, Nouran
%A Bott, Stefan
%A Eugeni, Carlo
%A O’Flaherty, John
%A Sharoff, Serge
%A Saggion, Horacio
%Y Ginel, María Isabel Rivas
%Y Cadwell, Patrick
%Y Canavese, Paolo
%Y Hansen-Schirra, Silvia
%Y Kappus, Martin
%Y Matamala, Anna
%Y Noonan, Will
%S Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI & EL/PL)
%D 2025
%8 June
%I European Association for Machine Translation
%C Geneva, Switzerland
%@ 978-2-9701897-5-6
%F khallaf-etal-2025-democracy
%X Several people are excluded from democratic deliberation because the language which is used in this context may be too difficult to understand for them. Our iDEM project aims at lowering existing linguistic barriers in deliberative processes by developing technology to facilitate the translation of complicated text into easy to read formats which are more suitable for may people. In this paper we describe classification experiments for detecting different types of difficulties which should be amended in order to make texts easier to understand. We focus on a lexical simplification system which can achieve state-of-the-art results with the use of a free and open-weight Large Language Model for the Romance Languages in the iDEM project. Moreover, a sentence segmentation system is introduced that can create text segmentation for long sentences based on training data. We describe the iDEM mobile app, which will make our technology available as a service for end-users of our target populations.
%U https://aclanthology.org/2025.aielpl-1.10/
%P 108-124
Markdown (Informal)
[Democracy Made Easy: Simplifying Complex Topics to Enable Democratic Participation](https://aclanthology.org/2025.aielpl-1.10/) (Khallaf et al., AIELPL 2025)
ACL