Collenette, J, Atkinson, K 
ORCID: 0000-0002-5683-4106 and Bench-Capon, T ORCID: 0000-0003-3975-4398
(2020)
An explainable approach to deducing outcomes in european court of human rights cases using ADFs.
In: Eighth International Conference on Computational Models of Argument (COMMA 2020), 2020-9-8 - 2020-6-11, Perugia, Italy.
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Abstract
In this paper we present an argumentation-based approach to representing and reasoning about a domain of law that has previously been addressed through a machine learning approach. The domain concerns cases that all fall within the remit of a specific Article within the European Court of Human Rights. We perform a comparison between the approaches, based on two criteria: ability of the model to accurately replicate the decision that was made in the real life legal cases within the particular domain, and the quality of the explanation provided by the models. Our initial results show that the system based on the argumentation approach improves on the machine learning results in terms of accuracy, and can explain its outcomes in terms of the issue on which the case turned, and the factors that were crucial in arriving at the conclusion.
| Item Type: | Conference or Workshop Item (Unspecified) |
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| Depositing User: | Symplectic Admin |
| Date Deposited: | 26 Jun 2020 08:16 |
| Last Modified: | 26 Jan 2024 01:46 |
| DOI: | 10.3233/FAIA200488 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3091686 |
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