ASIS&T 2013 Annual Meeting 
Montrťal, Quťbec, Canada | November 1-5, 2013

 
Automatically Assigning Research Methods to Journal Articles in the Domain of Social Sciences

Judith Eckle-Kohler, UKP Lab, Technische Universitšt Darmstadt and German Institute for International Educational Research
Tri-Duc Nghiem, UKP Lab, Technische Universitšt Darmstadt and German Institute for International Educational Research
Iryna Gurevych, UKP Lab, Technische Universitšt Darmstadt and German Institute for International Educational Research

Monday, 1:30pm


Summary

We investigate the automatic assignment of research methods to journal articles from the domain of Social Sciences. We employ Computer Science and Computational Linguistics methodology to perform this automatic assignment of metadata. The multi-label classification system we present uses only abstracts and titles of journal articles as input. Our best system is able to assign the important research methods "empirical" and "quantitative empirical" with F-scores of 0.67 and 0.68. These research methods are in the focus of many recent manual analyses of publications databases. Our classification approach could be applied to automatically analyze large publications databases and databases of bibliographic references according to the use of empirical and quantitative empirical methods.