Abstract
The Danish asylum adjudication procedure is a two-tiered
system, with the Immigration Service making initial determinations and the Danish Refugee Appeals Board (RAB) automatically appealing cases that are rejected. This study aims to employ a deep neural network(DNN)- based Natural Language Processing (NLP) pipeline to predict asylum decision-making outcomes using a dataset of over 15,515 Danish asylum decisions provided by the Danish Refugee Appeals Board (RAB) between January 1995 and January 2021. This research seeks to improve
the performance and effectiveness of decision-making in asylum cases by addressing key challenges, such as modeling the asylum decision-making problem using NLP-based DNNs and dealing with class imbalance issues.
Our preliminary results indicate that DNN-based NLP predictive models are capable of learning meaningful representations of asylum cases with high precision and recall, particularly when class weights are considered than the baseline DNN model.
system, with the Immigration Service making initial determinations and the Danish Refugee Appeals Board (RAB) automatically appealing cases that are rejected. This study aims to employ a deep neural network(DNN)- based Natural Language Processing (NLP) pipeline to predict asylum decision-making outcomes using a dataset of over 15,515 Danish asylum decisions provided by the Danish Refugee Appeals Board (RAB) between January 1995 and January 2021. This research seeks to improve
the performance and effectiveness of decision-making in asylum cases by addressing key challenges, such as modeling the asylum decision-making problem using NLP-based DNNs and dealing with class imbalance issues.
Our preliminary results indicate that DNN-based NLP predictive models are capable of learning meaningful representations of asylum cases with high precision and recall, particularly when class weights are considered than the baseline DNN model.
Originalsprog | Engelsk |
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Titel | Proceedings of the Seventeenth International Workshop on Juris-Informatics 2023 (JURISIN 2023) |
Publikationsdato | jun. 2023 |
Sider | 92-105 |
Status | Udgivet - jun. 2023 |
Begivenhed | 17. International Workshop on Juris-informatics (JURISIN 2023) - Kumamoto, Japan Varighed: 5 jun. 2023 → 6 jun. 2023 https://research.nii.ac.jp/~ksatoh/jurisin2023/ |
Konference
Konference | 17. International Workshop on Juris-informatics (JURISIN 2023) |
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Land/Område | Japan |
By | Kumamoto |
Periode | 05/06/2023 → 06/06/2023 |
Internetadresse |