We’re very happy to welcome Rasmus Lehmann to NLP at ITU!
Rasmus resides in the cross section between business, communication and technology, with a Bachelor’s degree within organizational communication and economics from CBS, and a Master’s degree within software development, specialized in Business Intelligence and Machine Learning. Rasmus’ interest in the field of NLP was aroused while working on implementing a deep learning-based model for use in rumor identification, and he continued to write his thesis, titled “Stance Detection in Danish Politics”. The focus of this project was to build a dataset of quotes from Danish politicians for use in stance detection in Danish, and applying a deep learning-based approach to solving this classification task. The project was subsequently turned into a submission for the NoDaLiDa 2019 conference on Computational Linguistics, to which the paper was accepted.
Rasmus will be working closely with Leon Derczynski on creating tools for NLP in Danish.