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Found 7 papers, 1 papers with code
Using OpenWordnet-PT for Question Answering on Legal Domain
In order to practice a legal profession in Brazil, law graduates must be approved in the OAB national unified bar exam.
Contestable AI needs Computational Argumentation
AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable.
Technical Report on the Learning of Case Relevance in Case-Based Reasoning with Abstract Argumentation
Specifically, we show that, for two legal datasets, AA-CBR and decision-tree-based learning of case relevance perform competitively in comparison with decision trees.
On Interactive Explanations as Non-Monotonic Reasoning
To better analyse this issue, in this work we treat explanations as objects that can be subject to reasoning and present a formal model of the interactive scenario between user and system, via sequences of inputs, outputs, and explanations.
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
The forum r/AmITheAsshole in Reddit hosts discussion on moral issues based on concrete narratives presented by users.
Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
We then define a variation of $AA{\text -} CBR_{\succeq}$ which is cautiously monotonic.
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation
Recently, abstract argumentation-based models of case-based reasoning ($AA{\text -}CBR$ in short) have been proposed, originally inspired by the legal domain, but also applicable as classifiers in different scenarios, including image classification, sentiment analysis of text, and in predicting the passage of bills in the UK Parliament.
