Summarizing debates on large scale
Bachelor Thesis, Master Thesis
Argumentation Mining deals with the automatic extraction of argumentative structures from natural text. Given the recent advances in this field, we are able to identify large numbers of arguments supporting or opposing a controversial topic (e.g. “nuclear energy”). To make this information digestible for users, we would like to aggregate the arguments by grouping similar arguments together and present the most prominent ones to the user.