Speaker
Peter Mutschke
(Gesis)
Description
Research in the Social Sciences is usually based on survey data which consist of a number of single research questions (so-called variables). However, due to a lack of standards for data citations a reliable identification of variable references in scientific publications is often difficult. We present a work-in-progress study that seeks to provide a solution to the variable detection task based on supervised machine learning algorithms.
