Investigating Automatic Alignment Methods for Slide Generation from Academic Papers

In this paper we investigate the task of automatic generation of slide presentations from academic papers, focusing initially on slide to paper alignment. We compare and evaluate four different alignment systems which utilize various combinations of methods used widely in other alignment and question answering approaches, such as TF-IDF term weighting and query expansion. Our best aligner achieves an accuracy of 75% and our findings show that for this application, average TF-IDF scoring performs more poorly than a simpler method based on the number of matched terms, and query expansion degrades aligner performance.