Research Proposals

One of our main research interests is Argument Mining (AM). It can be informally described as the problem of automatically detecting and extracting arguments from text.

We are interested in developing interpretable models. An interpretable model exposes means for identifying the process that leads from an input to a prediction.

The domain of legal documents is one of those that would benefit the most from a wide development and application of NLP tools.

We are interested in developing deep learning models that are capable of employing knowledge in the form of natural language. Such knowledge is easy to interpret and to define (compared to structured representations like syntactic trees, knowledge graphs and symbolic rules).