Abstract: How can text processing models be used to help self-directed students learn the skills they need to be effective data scientists, for example, the basics of Probability Theory? How can text processing models be used to automate mundane data wrangling tasks to help improve efficiency of Data Scientists? In this talk, I will discuss these questions, and our work on the NLP systems we are building to answer these questions.

Bio: Ndapa Nakashole is an Assistant Professor at the University of California, San Diego, where she teaches and carries out research on Statistical Natural Language Processing. Before that she was postdoctoral scholar at Carnegie Mellon University. She obtained her PhD from Saarland University and the Max Planck Institute for Informatics, Germany. She completed undergraduate studies in Computer Science at the University of Cape Town, South Africa.