Paper: Investigating Automatic Alignment Methods for Slide Generation from Academic Papers

ACL ID W09-1115
Title Investigating Automatic Alignment Methods for Slide Generation from Academic Papers
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2009
Authors

In this paper we investigate the task of auto- matic generation of slide presentations from academic papers, focusing initially on slide to paper alignment. We compare and eval- uate four different alignment systems which utilize various combinations of methods used widely in other alignment and question an- swering 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, av- erage TF-IDF scoring performs more poorly than a simpler method based on the number of matched terms, and query expansion degrades aligner performance.