ArguAna is the short name of the following two projects. Most research presented at this website has at least been partly funded by either of the projects.
BMBF ArguAna 2012–2014. Argumentation Analysis in Customer Opinion Mining.
Originally, ArguAna was the abbreviation of the cooperative research project “Argumentation Analysis in Customer Opinion Mining”, funded by the German Federal Ministry of Education and Research (BMBF) from March 2012 to February 2014. This website used to be the main website of the project.
The aim of the project was to develop technologies for the automatic mining and analysis opinions from natural language text. The studied research question was how to capture the sequence of arguments in a text in order to assess the overall argumentation of the text? An online demo has been developed that exemplifies some of the main results. [demo]
Four partners collaborated on the project, two from academia and two from industry. On the academic side, this was the s-lab – Software Quality Lab of Paderborn University as well as the Webis group of the Bauhaus-Universität Weimar. The industry side was represented by the Resolto Informatik GmbH as well as the HRS GmbH.
DFG ArguAna 2016–2019. Argumentation Analysis for the Web.
A follow-up project called “Argumentation Analysis for the Web” started in April 2016, funded by the German Research Foundation (DFG). It is going to run until April 2019.
The project targets the specific challenges of mining arguments and their relations from natural language text on the web. Algorithms are developed that (1) robustly apply to various forms of web argumentation, (2) efficiently leverage the scale of the web, and (3) complement argument mining with an argumentation analysis to effectively assess important quality dimensions.