Centre for Research in Reasoning, Argumentation & Rhetoric along with the PhD in Argumentation Studies at the University of Windsor invite you to a talk by
Argumentation Studies PhD
Abstract: Argument mining is the automatic detection or, especially, extraction of arguments from natural language texts. Arguments could be detected and their boundaries discovered; the arguments' internal structures, such as which parts are premises, which conclusions, and what forms of inference link them, could be mapped; missing premises could be inferred. Any of these tasks, when automated, would be argument mining tasks.
In this talk I will give an overview of standard approaches to argument mining, especially approaches presented in seminal papers, and I will also give an overview of some recent promising approaches. Beyond that, I will briefly present my past research doing argument mining using an IBM Debate Technology dataset, and I will discuss the prospects for automatically classifying arguments by argumentation scheme.
Friday, February 16, 2018
Memorial Hall, Room 105
All are welcome