Autor: Kalina Bontcheva

Isabelle Augenstein is a Research Associate in the UCL Machine Reading group. Prior to that, she was a Research Associate in the Sheffield NLP group and completed a Ph.D. thesis at the University of Sheffield on the topic of relation extraction from the Web. Before joining the University of Sheffield in October 2012 she studied Computational Linguistics at the Department of Computational Linguistics, Heidelberg University, and was a part-time research assistant at AIFB, Karlsruhe Institute of Technology. Isabelle Augenstein’s main research interests are information extraction, knowledge base population, and machine learning for natural language processing. Her research focuses on methods which do not require manually annotated training data and instead exploit background information, such as Linked Data. Her current work focuses on automatic knowledge base construction for scientific publications. She has published in high-profile conferences and journals such as ACL, EMNLP, ISWC, and the Semantic Web journal and regularly reviews for conferences. She has given tutorials and organized hands-on sessions on natural language processing for the Semantic Web at the ESWC Summer Schools in 2014 and 2015.