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.

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