A Chatbot for Asylum-Seeking Migrants in Europe

Fuente: arXiv
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Autori principali: Fazzinga, Bettina, Palmieri, Elena, Vestoso, Margherita, Bolognini, Luca, Galassi, Andrea, Furfaro, Filippo, Torroni, Paolo
Natura: Preprint
Pubblicazione: 2024
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author Fazzinga, Bettina
Palmieri, Elena
Vestoso, Margherita
Bolognini, Luca
Galassi, Andrea
Furfaro, Filippo
Torroni, Paolo
author_facet Fazzinga, Bettina
Palmieri, Elena
Vestoso, Margherita
Bolognini, Luca
Galassi, Andrea
Furfaro, Filippo
Torroni, Paolo
contents We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they can apply for. This would contribute to a more sustainable migration by reducing the load on territorial commissions, Courts, and humanitarian organizations supporting asylum applicants. We describe the background context, system architecture, underlying technologies, and a case study used to validate the tool with domain experts.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09197
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Chatbot for Asylum-Seeking Migrants in Europe
Fazzinga, Bettina
Palmieri, Elena
Vestoso, Margherita
Bolognini, Luca
Galassi, Andrea
Furfaro, Filippo
Torroni, Paolo
Artificial Intelligence
Computation and Language
We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they can apply for. This would contribute to a more sustainable migration by reducing the load on territorial commissions, Courts, and humanitarian organizations supporting asylum applicants. We describe the background context, system architecture, underlying technologies, and a case study used to validate the tool with domain experts.
title A Chatbot for Asylum-Seeking Migrants in Europe
topic Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2407.09197