Argumentation: mining and linguistic foundations

While automatically identifying and extracting argumentative portions in natural language text has gained momentum, I am particularly interested in the linguistic foundations of arguments in real, multi-party discourse -- which linguistic devices are used to convey them, how can we categorize them and what automatic methods are best to extract them. This line of research is one of the foci of the ADD-up project (http://arg.tech/add-up), funded by the VolkswagenStiftung from 2017 to 2020.

Visual Analytics in Linguistics

An exciting and fairly recent field in (computational) linguistics is the exploration and interpretation of linguistic information with Visual Analytics systems (LingVis). In cooperation with the visualization group of Prof. Dr. Daniel Keim, I have worked on visualizing semantic change, argumentation and clustering results from machine learning approaches. Projects include the following:

VisArgue: Analysis and Visualization of Political Communication

CALD: Computational Analysis of Linguistic Development

I'm also a co-organizer of the LREC VisLR workshops (Visualization as Added Value in the Development, Use and Evaluation of Lexical Resources), with the first edition at LREC 2014 and the second edition at LREC 2016.