The Language Technology group is researching on all aspects of technologies for the processing of natural (human) language, and apply language technology in practice. In particular, we are interested in unsupervised, large-scale methods for natural language semantics.
The focus of this group is on unsupervised and knowledge free methods, such as clustering of lexical graphs, topic models and neural representations. These methods, which neither presuppose training data nor assume the existence of knowledge resources, identify regularities in large text collections and mark them back into the data.
We believe that publicly funded software and data should be released to the public. Therefore, we make our software and data available under most lenient license terms whenever possible. Providing results from research quickly and directly to the public in the form of software enables researchers and companies alike to utilize novel approaches and advances in their work.