Paramita Mirza is a Senior Researcher at the Natural Language Processing Group, Audio and Media Technologies, Fraunhofer Institute for Integrated Circuits IIS. She is part of the Allinga project, offering data-secure speech solutions for professional environments. She received her PhD degree from the University of Trento, Italy in spring 2016. Her PhD research focused on extracting temporal and causal relations between events from natural language texts, as part of the NewsReader project, with the ultimate goal of the automatic creation of event timelines from large volumes of news texts. Her current research interests include causation and commonsense knowledge harvesting, personal knowledge extraction, semantics of numbers in natural language texts, and enhancing voice assistant solutions with commonsense and personal knowledge. This particular interest in computational linguistics is motivated by her background in computer science and passion about human language.