In my PhD thesis I want to explore approaches towards the automatic resolution of scope in natural languages. To tackle a problem like scope, a problem which is typically associated with deep language processing, I do research on the applicability of deep learning techniques to highly heterogeneous language data.
- syntax, semantics and the syntax-semantics interface
- logic and language, formal semantics
- scope, focus and quantifiers in natural language
- (Combinatory) Categorial Grammar
- computational semantics
- functional programming, Haskell for natural language processing
- machine learning for natural languages, statistical evaluation of natural languages
- deep learning and NLP
In the past, I've worked mostly with C and Haskell. As of late (since 2016), I almost exclusively program in F# and C#, both languages I very much enjoy working with. R is still my language of choice when it comes to teaching (statistics) and to processing my own data.
Teaching contains a full list of seminars and courses that I’ve taught.
Education and Work
- since June 2016: part-time full-stack developer at CAALA
- since 2013: PhD student Friedrich Schiller University Jena
- 2011 – 2013: M.A. English and American Studies (focus: linguistics and computational linguistics), Friedrich Schiller University Jena
- 2008 – 2011: B.A. English and American Studies (focus: linguistics) and Intercultural Business Communication, Friedrich Schiller University Jena