Argument Mining by Applying Argumentation Schemes

This paper builds a method to help a student of informal logic to go through a text of discourse in a natural language and identify common types of arguments that occur in the text. It is shown how this procedure is very helpful for students learning informal logic skills, as they sometimes misidentify arguments. The paper presents the state-of-the-art on what resources are available to build a useful argument identification procedure, and includes a survey of work done on automated argument mining tools used in artificial intelligence.