research

I am interested in knowledge representation, semantic tech­nologies, graph data mining, machine learning on graphs, and natural language processing.

Especially, I am interested in approaches that combine un­­struc­tured data (e.g., text) with structured data (e.g., knowledge graphs), and in machine learning approaches that can exploit background knowledge.

My vision is to develop neuro-semantic approaches that combine logic, statistics, and machine learning to address problems in natural language processing and beyond.

I have carried out research in the areas of machine learning on graphs, link prediction, in-context learning, natural language processing/generation, relation extraction, question answering, information extraction, ontology engineering, explainable AI, graph data mining, and pattern mining.