Jennifer D'Souza

I work as a postdoctoral researcher on the Open Research Knowledge Graph project in the Data Science and Digital Libraries group at TIB.

My work experience is in developing unsupervised or supervised machine learning techniques for natural language processing (NLP). My current research focus is on semantifying knowledge from scholarly text by NLP methods. I hold a PhD from the University of Texas at Dallas where my research focus was on relation mining from natural language text with a specific focus on time and space relations. I have since worked as a postdoctoral researcher at the University of California, Davis, where I studied the application of natural language processing techniques to software engineering tasks under the umbrella of the Naturalness of Software initiative. Following this and before joining TIB, I spent a brief period in a startup environment in industry developing concept discovery software solutions.

My research focuses on the following areas:

• Information Extraction and Question Answering

• Discourse and Coreference

• Scientometrics

Information about publications and projects can be found in the TIB research information system, on the websites of the University of Dallas and at Google Scholar.

Last but not the least :), If you would like to learn more about the Open Research Knowledge Graph project, the research and development team where I currently work, I recommend the videos below as a nice starting point. The mission of the ORKG is to create a free and open knowledge graph of structured and FAIR-compliant resources containing scholarly contributions which can be automatically compared, visualized, and reviewed.