simon.dobnik@gu.se
Simon Dobnik is a Professor of Computational Linguistics at University of Gothenburg where he leads the Cognitive Systems research group at the Centre for Linguistic Theory and Studies in Probability (CLASP) and teaches within the Masters in Language Technology programme (MLT). He has experience with both textual (linguistic) and non-textual (images, robots) domains of natural language processing. His main research interests are computational representation of meaning (semantics), computational models of language and perception, human-robot interaction, and scenarios with low-resource data. In his research, he focuses on building, evaluating, and improving language models in a way that is informed by the properties of machine learning algorithms, representation of knowledge in the training data, and research in linguistics and psychology on human interaction. Examples of his work include learning language with robots, learning grounded language models, generation of image captions, (visual) question answering, natural language inference, learning language models from small and variable data, and evaluation of bias.