Dialogue Interactions in Oral Hearings

The human reasoning process used in conducting arguments to resolve conflicts and reach a decision is an interdisciplinary study. Modelling argumentation has a great impact on the development of theories and applications in AI especially in critical domains that involve richness of reasoning such as Law. Therefore, argumentation has been recognised as a core topic in AI and Law. Developing computational argumentation systems that simulate legal reasoning requires resolving distinctive challenges that concern contextual rules, procedural issues and the interpretation of different elements. This PhD research aims to provide a supportive computational model for analysing stages in the Supreme Court starting from the oral hearings. In particular, a key aim is analysing the social values of the legal arguments from different perspectives, and finding the relation between the Court opinion and the components constructed in the Court oral hearings. This paper gives an overview of the current PhD research proposing the problem, the overall aims and the approach required to fulfil the aims. Furthermore, it provides a summary of the background in argumentation in the domain of AI and Law and presents the deliverables obtained so