Argumentation mining: the detection, classification and structure of arguments in text

  • Authors:
  • Raquel Mochales Palau;Marie-Francine Moens

  • Affiliations:
  • Katholieke University Leuven, Leuven, Belgium;Katholieke University Leuven, Leuven, Belgium

  • Venue:
  • Proceedings of the 12th International Conference on Artificial Intelligence and Law
  • Year:
  • 2009

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Abstract

Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence. The ability to engage in argumentation is essential for humans to understand new problems, to perform scientific reasoning, to express, to clarify and to defend their opinions in their daily lives. Argumentation mining aims to detect the arguments presented in a text document, the relations between them and the internal structure of each individual argument. In this paper we analyse the main research questions when dealing with argumentation mining and the different methods we have studied and developed in order to successfully confront the challenges of argumentation mining in legal texts.