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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.09197 |
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| _version_ | 1866917907037945856 |
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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 |